{"id":105972,"date":"2024-10-15T12:00:00","date_gmt":"2024-10-15T10:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=105972"},"modified":"2025-02-04T14:07:59","modified_gmt":"2025-02-04T13:07:59","slug":"from-pixels-to-presence","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/from-pixels-to-presence\/","title":{"rendered":"From Pixels to Presence"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Today&#8217;s world presents several contemporary global challenges that weave through society and encompass professional and social life. Most prominently the current climate change as well as the rippling effects of the COVID-19 pandemic ask for solutions to remote interaction and collaboration, reducing travel while still maintaining social interaction.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With the advancement in electronics, robotics, as well as information and communication technology in the second half of the 20th century, increasingly sophisticated teleoperative systems became possible. Today, those systems are used particularly in areas where people would reach or exceed, e.g. personal, safety or spatial, limits when facing those challenges.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">TPRs, by enabling remote interaction and collaboration, significantly reduce the need for travel, thereby contributing to the reduction of carbon emissions associated with transportation. Moreover, these robots facilitate the seamless integration of remote and hybrid work models, aligning with the digital transformation that reshapes modern workplaces by enhancing productivity and communication. Additionally, in the post-COVID era, TPRs offer innovative ways to maintain social connections and ensure inclusivity, bridging the gap created by physical distancing and supporting mental well-being.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Given the maturity of the available technological components for creating TPRs tailored to various specific tasks and needs, the most important question is how to establish an appropriate work\/interaction environment where the potential present in TPRs can best be used for supporting the climate, digital and social transformation seen today.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As Figure 1 illustrates, TPRs currently combine a mobile video conferencing system that can be controlled remotely and be equipped with additional tools to manipulate the remote environment. The characteristic feature of a TPR is that a remote user can use a computer or mobile device to control the TPR in a different location.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The TPR allows the remote user to move autonomously and interact with the remote environment, i.e., remote infrastructure\/machines and other users. For the local user, the perception of the remote user (driver) is also changed\u2014they appear more socially present (telepresent, first described by Minsky [1]) and real than, for example, on a screen.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"516\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-1-1024x516.jpg\" alt=\"Telepresence Robot System\" class=\"wp-image-106138\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-1-1024x516.jpg 1024w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-1-744x375.jpg 744w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-1-768x387.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-1-514x259.jpg 514w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-1-510x257.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-1-64x32.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-1.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 1: Telepresence Robot System [2].<\/em><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Telepresence application domains<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Telepresence systems are described in a plethora of contexts that each make use of different aspects of telepresence and\/or robotics to solve challenges specific to the context. Youssef et al. [<a href=\"https:\/\/doi.org\/10.3390\/robotics12040111\" target=\"_blank\" rel=\"noopener\">3<\/a>] give a concise overview of different application areas described in recent scientific literature\u2014see Figure 2 for an overview. They found most research interest to be in the domains of care and assistance, medicine and healthcare, education, and industrial applications. However, telepresence solutions covering more social aspects, like virtual tours, conference attendance or entertainment were also found.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"835\" height=\"1024\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-2-835x1024.jpg\" alt=\"Different application areas for TPRs\" class=\"wp-image-106140\" style=\"width:402px;height:auto\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-2-835x1024.jpg 835w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-2-306x375.jpg 306w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-2-768x942.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-2-238x292.jpg 238w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-2-510x625.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-2-64x78.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-2.jpg 1142w\" sizes=\"auto, (max-width: 835px) 100vw, 835px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 2:&nbsp;Different application areas for TPRs (adapted from [4]<\/em>).<\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Due to the advancement of medicine, electronics, and communication technology, combined with declining birth rates, especially in industrialized countries, there is a growing need for care and assistance for the elderly [4]. It is estimated that robot-assisted surgeries, wearable devices, and sensors can save up to three million lives each year [5]. TPRs are also used for virtual consultations in the medical and care context to facilitate communication between doctors and isolated patients [6]. In teaching, TPRs can bring teachers and learners from different locations together virtually [7].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Also, students with chronic illnesses or reduced mobility can be brought into an educational context with less effort [8]. While remote work has been on research agendas for decades, the COVID-19 pandemic raised the number of functional remote working and learning solutions.<\/p>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Industry representatives have thus been found to support TPR usage as it saves time, resources, and CO<sub>2<\/sub> emissions [<a href=\"https:\/\/de.statista.com\/page\/der-future-of-work-report-2022\" target=\"_blank\" rel=\"noopener\">9<\/a>]. When deployed on the shop floor, several use cases have been explored to date: internal production audits, product development, vocational training, quality control, equipment setup, maintenance, and logistics [10, <a href=\"https:\/\/doi.org\/10.1007\/978-3-030-79816-1_18\" target=\"_blank\" rel=\"noopener\">11<\/a>].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In an international context, i.e., meetings of multinational working in diverse locations as well as international conference attendance, participants have been shown to profit from TPR-enabled virtual participation. With TPRs, attendance can easily be extended to remote lab tours or site visits, thus going beyond the possibilities of video conferencing [12\u2012<a href=\"https:\/\/doi.org\/10.1007\/978-3-031-34609-5_26\" target=\"_blank\" rel=\"noopener\">14<\/a>].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">During the pandemic, TPRs were newly deployed in cultural institutions like museums [15], allowing for joint visits by on-site visitors and remote persons. At the same time, virtual tours, which enable a more comprehensive visit to a museum, were tested [16]. In the aftermath of COVID-19, TPRs still allow for remote participation with family and friends over (long) distances. These shared activities have been shown to increase well-being as well as reduce the feeling of isolation [17]\u2014while saving travel costs and CO<sub>2<\/sub> emissions as a positive side effect.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Given this broad spectrum of potential use cases, the question arises whether the currently available TPRs are meeting the requirements of their users and, if not, whether additional requirements can be generalized over different use case. The purpose of this paper is to  outline the basic requirements for the human-centered development of TPRs, leveraging advances in robotics, sensing, and communication technologies.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Case 1: Integrating TPRs in industrial workflows.<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Having a TPR present in a manufacturing environment, especially on the shopfloor, poses a unique set of demands to integrate TPRs into existing workflows, stemming from the environmental conditions of modern manufacturing, maintenance, and inspection tasks. The case study in the field with multiple partner companies follows an iterative, methodical approach divided into two phases: in the first phase, which is presented subsequently, requirements from the application domain are elicited, forming the basis for the second phase. Here, a TPR is designed and implemented to fulfill those requirements in specified workflows; evaluation of the quality of implementation closes phase 2.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To gather insights from different perspectives, requirements elicitation was conducted with industry experts. The participants have backgrounds in the field of robotics and software development or come with industry expertise in manufacturing load carriers (for intralogistics). All participants had prior experience providing services for industrial B2B customers and are required to travel extensively on business.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At the start of the initial workshop, all participants (n=12) were familiarized with the available TPRs to have a common understanding of the robots\u2019 capabilities. To start the process, three state of the art TPRs\u2014Temi by temi Robots as a Service, Double 3 by Double Robotics and OhmniPro by OhmniLabs\u2014were presented in terms of (dis-)advantages, technical requirements for use, and existing application areas. After this presentation, participants gained initial experience in the TPRs\u2019 operation and driving characteristics. These experiences were discussed, and participants came up with five scenarios of potential TPR deployment in a moderated discussion:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Customer meetings and instructions on a system or a \/machine<\/li>\n\n\n\n<li>Support from experts for maintenance tasks<\/li>\n\n\n\n<li>Training on a system or a machine<\/li>\n\n\n\n<li>Product acceptance of load carriers by customers<\/li>\n\n\n\n<li>Maintenance of load carriers at customers\u2019 premises<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Within the identified scenarios and according testing necessities, TPRs were assigned to the participants for individually negotiated testing periods based on the participants preferences and availability (total of 16 weeks; average testing time per scenario: 30,5 min; 268 tests). Evaluation of field tests were done using an approach for systematic evaluation of TPR usage, developed in [18], consisting of structured protocols, including elements on operation, technology, interaction, and user mood.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"729\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-3-1024x729.jpg\" alt=\"Requirements elicited for human-centered TPRs on the shop floor\" class=\"wp-image-106142\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-3-1024x729.jpg 1024w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-3-527x375.jpg 527w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-3-768x546.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-3-410x292.jpg 410w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-3-510x363.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-3-64x46.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-3.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 3: Requirements elicited for human-centered TPRs on the shop floor.<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Aggregated testing results were used for the second workshop, where a joint discussion of results among the participants (n=10) took place to derive requirements to make TPRs more human-centered (Fig. 3). Subsequently, each requirement was assigned one of five levels of difficulty (Likert scale: (very) low, medium, (very) high) for its realization, based on available technical documentation for the TPRs, expert input from fellow researchers working in robotics\/computer science as well as feedback from developers. One main aspect was the operating domain of the TPRs, e.g. the integration into existing, proprietary Smart Building\/Shopfloor systems.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Case 2: Using TPRs for virtual tours and social integration<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Social integration via technological tools poses a unique set of demands stemming from human-machine-interaction as well as social routines, which have additionally been shown to be age-dependent [19, 20]. To address the requirements and expectations towards a TPR within existing social routines, e.g., a joint museum tour by a family group, a strong focus is on the TPRs\u2019 potential to represent remote humans in the local space.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To inquire the socio-technical requirements for virtual tours, a laboratory study with two workshops (approx. 2h) was used, mirroring the requirements elicitation of the industrial workflows. Differently and to better represent future users, participants were recruited to have little or no previous experience with a TPR to represent the social, family-related context of the use case (17 participants; 12 with no previous experience with a TPR).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the initial workshop, participants jointly developed scenarios of the intended use of the TPR, resulting in four scenarios of potential TPR deployment:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>a guided tour of a school class with a minor participating via TPR<\/li>\n\n\n\n<li>a guided tour with an adult participating via TPR<\/li>\n\n\n\n<li>a guided tour with a guide participating via TPR<\/li>\n\n\n\n<li>an assessment of an art competition with a jury member participating via TPR<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"921\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-4-1024x921.jpg\" alt=\"Scenario \u201ca guided tour with an adult participating via TPR\u201d\" class=\"wp-image-106144\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-4-1024x921.jpg 1024w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-4-417x375.jpg 417w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-4-768x691.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-4-325x292.jpg 325w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-4-510x459.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-4-64x58.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-4.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 4: Scenario \u201ca guided tour with an adult participating via TPR\u201d.<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"wp-block-paragraph\">For the second workshop, these scenarios were set up in an access-restricted meeting area to represent a museum equipped with paintings, photographs, and installations (Fig. 4). Participants were divided in two groups, with one group enacting the scenario (TPR was controlled remotely by an assistant from a separate room) and the other group observing and documenting the problems and requirements.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At the beginning of the scenario set-up, two state of the art TPRs\u2014Temi and Double 3\u2014were<br>presented to all participants, allowing them to gain initial experience in the TPRs\u2019 operation and driving characteristics as well as form an initial opinion on their capabilities for social interaction<\/p>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">At the end of the workshop, the participants jointly discussed the problems and identified requirements in a group discussion. The requirements derived were then ranked by the group according to priority from highest (1) to lowest (10) (Fig. 5). The participants reviewed the necessity of the proposed requirements and based on how often a requirement was rated as important and feasible by the participants, this ranking was formed.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"634\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-5-1024x634.jpg\" alt=\"Requirements elicited for Virtual Tours with a TPR\" class=\"wp-image-106146\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-5-1024x634.jpg 1024w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-5-606x375.jpg 606w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-5-768x476.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-5-472x292.jpg 472w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-5-510x316.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-5-64x40.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez_I4S-EN-24-5_Figure-5.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 5: Requirements elicited for Virtual Tours with a TPR.<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">As with the study in an industrial setting, one of five levels of difficulty were assigned (Likert scale: (very) low, medium, (very) high) for its realization to each requirement. The ranking is based on available technical documentation for the TPRs as well as expert input from fellow researchers working in robotics\/computer science. Again, the application domain, i.e. the museum setting, comes with a unique set of considerations for this assessment. Most prominently the need for safety measures such as virtual barriers to avoid collisions with exhibits, along with emergency control by someone on-site.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Commonality of the requirements of industrial workflows and virtual tours<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">From analysis of the results, it&#8217;s evident that users&#8217; needs in various scenarios, whether in production or social engagement within a cultural setting, largely overlap. Looking at the top three ranked requirements, stable connectivity, audio support for communication, and visual clarity are prominent in both contexts. The necessity of a stable internet connection, or an alternative means of connectivity, emerges as a primary requirement across both domains. This isn&#8217;t surprising, as interrupted connectivity undermines the utility of <a href=\"https:\/\/industry-science.com\/en\/tools\/robotics\/\">TPR <\/a>usage. Thus, ensuring connectivity is crucial and should be prioritized.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Audio support, typically in the form of headsets, is highly valued by both user groups, albeit for different reasons. In industrial settings, where noise levels can be high, headsets facilitate smooth and private communication between local and remote TPR users. In cultural settings, where calmness and quietness are expected, headsets are requested to enable communication without disturbing other museum visitors. Similarly, a strong emphasis is placed on visual elements in both domains, albeit for different purposes. <a href=\"https:\/\/industry-science.com\/en\/industry-4-0\/\">Industrial <\/a>users require a pointer to help remote TPR users reference onsite objects more easily, while museum visitors desire a clear, high-resolution camera image to view installations remotely.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These three categories of requirements are fundamental and likely applicable across various domains. However, the more detailed and diverse requirements specific to each domain should be explored further within those contexts and possibly in additional domains as well.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>This research presented in this article has been funded in parts by the Federal Ministry of Education and Research projects PRaeRI (Grant No. 02L21B001) and TeleVeRbundenheit (Grant No. 16SV9138). The authors would like to thank Lena Franzkowiak for her input writing this article.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<hr><div class=\"gito-pub-content-bibliography\"><h2>Bibliography <\/h2>[1] Minsky,\u00a0M.: Telepresence. OMNI, (1980), pp.\u00a044\u201352.\r<br>[2] Hernandez,\u00a0F.; L\u00f6ffler,\u00a0T.; Schleicher,\u00a0T.; Bullinger,\u00a0A.\u00a0C.: Eignung eines Telepr\u00e4senz-Roboters f\u00fcr die Remote-Instandhaltung. In: Instandhaltung als Erfolgsfaktor: Strategie, Lebenszyklusorientierung und Digitalisierung. 2021.\r<br>[3] Youssef,\u00a0K.; Said,\u00a0S.; Al Kork,\u00a0S.; Beyrouthy,\u00a0T.: Telepresence in the Recent Literature with a Focus on Robotic Platforms, Applications and Challenges: Robotics. (2023) URL: https:\/\/doi.org\/10.3390\/robotics12040111\r<br>[4] Niemel\u00e4,\u00a0M.; Van Aerschot,\u00a0L.; Tammela,\u00a0A.; Aaltonen,\u00a0I.; Lammi,\u00a0H.: Towards Ethical Guidelines of Using Telepresence Robots in Residential Care. In: International Journal of Social Robotics (2021) 13, pp.\u00a0431\u2013439.\r<br>[5] Singh,\u00a0R.\u00a0P.; Javaid,\u00a0M.; Haleem,\u00a0A.; Vaishya,\u00a0R.; Ali,\u00a0S.: Internet of Medical Things (IoMT) for Orthopaedic in COVID-19 Pandemic: Roles, Challenges, and Applications. In: Journal of Clinical Orthopaedics and Trauma 11 (2020) 4, pp.\u00a0713-717.\r<br>[6] Rojas,\u00a0A.; N\u00f8rskov,\u00a0S.: Interactions Afforded by Mobile Telepresence Robots in Health Care Settings. In: International Conference on Human-Computer Interaction. (ed): Springer Nature Switzerland. (2023), pp.\u00a0138-145.\r<br>[7] Ahumada-Newhart,\u00a0V.; Olson,\u00a0J.\u00a0S.: Going to School on a Robot: Robot and User Interface Design Features That Matter. In: ACM Transactions on Computer-Human Interaction (TOCHI) 26 (2019) 4, pp.\u00a01-28.\r<br>[8] Page,\u00a0A.; Charteris,\u00a0J.; Berman,\u00a0J.: Telepresence Robot Use for Children with Chronic Illness in Australian Schools: A Scoping Review and Thematic Analysis. In: International Journal of Social Robotics (2021) 13, pp.\u00a01\u201313.\r<br>[9] Appinio: Future of Work Report 2022. URL: https:\/\/de.statista.com\/page\/der-future-of-work-report-2022, Accessed 19.08.2024.\r<br>[10] Darvish,\u00a0K.; Penco,\u00a0L.; Ramos,\u00a0J.; Cisneros,\u00a0R.; Pratt,\u00a0J.; Yoshida,\u00a0E.; Ivaldi,\u00a0S.; Pucci,\u00a0D.: Teleoperation of Humanoid Robots: A Survey. In: IEEE Transactions on Robotics (2023) 39, pp.\u00a01706-1727.\r<br>[11] Hernandez,\u00a0F.; Waechter,\u00a0M.; Bullinger,\u00a0A.\u00a0C.: A First Approach for Implementing a Telepresence Robot in an Industrial Environment. (2021) URL: https:\/\/doi.org\/10.1007\/978-3-030-79816-1_18\r<br>[12] Lee,\u00a0W.; Park,\u00a0J.; Park,\u00a0C.\u00a0H.: Acceptability of Tele-Assistive Robotic Nurse for Human-Robot Collaboration in Medical Environment. In: Companion of the 2018 ACM\/IEEE International Conference on Human-Robot Interaction (2018), pp. 171-172.\r<br>[13] Herring,\u00a0S.\u00a0C.: Telepresence Robots for Academics. In: Proceedings of the American Society for Information Science and Technology 50 (2013) 1, pp. 1-4. URL: https:\/\/doi.org\/10.1002\/meet.14505001156\r<br>[14] Hernandez,\u00a0F.; Birke,\u00a0J.; Bullinger,\u00a0A.\u00a0C.: The Tribrid-Meeting-Setup: Improving Hybrid Meetings Using a Telepresence Robot. (2023) URL: https:\/\/doi.org\/10.1007\/978-3-031-34609-5_26\r<br>[15] Ahumada-Newhart,\u00a0V.; De La Pena Jr,\u00a0A.; Riek,\u00a0L.\u00a0D.: Promoting Access in a Mexican-American Museum during the Pandemic: Online Community Events and Robots. In: The International Journal of the Inclusive Museum 16 (2023) 2, p.\u00a067.\r<br>[16] Kachach,\u00a0R.; Perez,\u00a0P.; Villegas,\u00a0A.; Gonzalez-Sosa,\u00a0E.: Virtual Tour: An Immersive Low Cost Telepresence System. In: Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Atlanta, GA 2020. pp.\u00a0504\u2013506.\r<br>[17] Tsui,\u00a0K.; Dalphond,\u00a0J.; Brooks,\u00a0D.; Medvedev,\u00a0M.; McCann,\u00a0E.; Allspaw,\u00a0J.; Kontak,\u00a0D.; Yanco,\u00a0H.: Accessible Human-Robot Interaction for Telepresence Robots: A Case Study. In: Paladyn Journal of Behavioral Robots (2015) 6, pp.\u00a01\u201321.\r<br>[18] Birke,\u00a0J.; Hernandez,\u00a0F.; Schwarzkopf,\u00a0M.; Zeiner-Fink,\u00a0S.; Bullinger,\u00a0A.\u00a0C.: Entwicklung eines Erprobungskonzeptes f\u00fcr den Einsatz von Telepr\u00e4senzrobotern. In: Nachhaltig Arbeiten und Lernen. 69. Kongress der Gesellschaft f\u00fcr Arbeitswissenschaft e.\u00a0V. 2023.\r<br>[19] B\u00f6rner,\u00a0K.; L\u00f6ffler,\u00a0T.; Bullinger-Hoffmann,\u00a0A.\u00a0C.: CheckAge: Screening-Verfahren f\u00fcr die Bewertung alter(n)sgerechter Arbeitspl\u00e4tze. In: Arbeitswissenschaft und Innovationsmanagement 2 (2017).\r<br>[20] Bullinger-Hoffmann,\u00a0A.\u00a0C.; L\u00f6ffler,\u00a0T.: Die Vernetzte Organisation und der demografische Wandel. In: Vernetzte Organisation. Munich 2014, pp.\u00a096-101.<\/div><div id=\"download-section\" class=\"gito-pub-download-section\" style=\"text-align:center;margin:20px;\"><h2>Your downloads<\/h2><button style=\"font-size:14px;margin-right:15px;\" class=\"button gito-pub-cpt-download-button\" data-postid=\"105972\" data-userid =\"0\" data-filename=\"I4S_05-2024_DE_Hernandez.pdf\"><span style=\"margin-top:5px !important;\" class=\"dashicons dashicons-download\"><\/span>&nbsp;&nbsp;PDF (DE)<\/button><button style=\"font-size:14px;margin-right:15px;\" class=\"button gito-pub-cpt-download-button\" data-postid=\"105972\" data-userid =\"0\" data-filename=\"I4S_05-2024_ENG_Hernandez.pdf\"><span style=\"margin-top:5px !important;\" class=\"dashicons dashicons-download\"><\/span>&nbsp;&nbsp;PDF (EN)<\/button><\/div><br>Potentials: <span class=\"gito-pub-tag-element\"><a href=\"\/potentials\/innovation-en\/\">Innovation<\/a><\/span> \n<h2 class=\"gito-pub-frontend-post-headline\">You might also be interested in<\/h2>\n<!-- GITO_PUB_POST start flex-container -->\n<div class=\"gito-pub-flex-container\">\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/xai-predicting-nudging-decision\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Herrmann_AdobeStock_1849357106_InfiniteFlow-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Herrmann_AdobeStock_1849357106_InfiniteFlow-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Herrmann_AdobeStock_1849357106_InfiniteFlow-196x180.webp\" alt=\"XAI for Predicting and Nudging Worker Decision-Making\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"XAI for Predicting and Nudging Worker Decision-Making\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">XAI for Predicting and Nudging Worker Decision-Making<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Feasibility and perceived ethical issues<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/jan-phillip-herrmann\/\">Jan-Phillip Herrmann<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-8875-1890\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/catharina-baier\/\">Catharina Baier<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/sven-tackenberg-en\/\">Sven Tackenberg<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-7083-501X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/verena-nitsch-en\/\">Verena Nitsch<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-4784-1283\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Explainable artificial intelligence (XAI)-based nudging, while ethically complex, may offer a favorable alternative to rigid, algorithmically generated schedules that simultaneously respects worker autonomy and improves overall scheduling performance on the shop floor. This paper presents a controlled laboratory study demonstrating the successful nudging of 28 industrial engineering students in a job shop simulation. The study shows that the observed concordance between students\u2019 sequencing decisions and a predefined target sequence increases by 9% through nudging. This is done by using XAI to analyze students\u2019 preferences and adjusting task deadlines and priorities in the simulation. The paper discusses the ethical issues of nudging, including potential manipulation, illusory autonomy, and reducing people to numbers. To mitigate these issues, it offers recommendations for implementing the XAI-based nudging approach in practice and highlights its strengths relative to rigid, ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 1 | Pages 70-78<\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/documentation-nursing-care\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Berretta_AdobeStock_578980096_Seventyfour-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Berretta_AdobeStock_578980096_Seventyfour-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Berretta_AdobeStock_578980096_Seventyfour-196x180.jpg\" alt=\"Improving Documentation Quality and Creating Time for Core Activities\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Improving Documentation Quality and Creating Time for Core Activities\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Improving Documentation Quality and Creating Time for Core Activities<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Success factors for implementing AI-based documentation systems in nursing care<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/sophie-berretta\/\">Sophie Berretta<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-2879-2164\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/elisabeth-liedmann\/\">Elisabeth Liedmann<\/a> <a href=\"https:\/\/orcid.org\/0009-0005-5294-2141\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/paul-fiete-kramer\/\">Paul-Fiete Kramer<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-9602-4952\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/anja-gerlmaier\/\">Anja Gerlmaier<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/christopher-schmidt\/\">Christopher Schmidt<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Demographic change is accompanied by both a growing demand for care and a shortage of qualified nursing staff. Consequently, AI-based technologies are increasingly becoming a focus of care-related innovations. Their aim is to reduce workload pressure, save time, and enhance the attractiveness of the nursing profession. Using the example of AI-supported documentation systems for admission interviews, this article examines to what extent such systems can contribute to improvements in work processes and care quality, focusing on the perspectives of nursing professionals and nursing experts. The results indicate potential for workload relief, enhanced documentation quality, and the reallocation of time resources toward direct patient care. However, realizing these potentials requires a human-centered and context-sensitive implementation approach.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 1 | Pages 154-160 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.146\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.146<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/augmented-reality\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Gonnermann-Mueller_AdobeStock_575284758_Shotmedia-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Gonnermann-Mueller_AdobeStock_575284758_Shotmedia-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Gonnermann-Mueller_AdobeStock_575284758_Shotmedia-196x180.webp\" alt=\"Applied Knowledge and Augmented Reality\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Applied Knowledge and Augmented Reality\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Applied Knowledge and Augmented Reality<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Bridging the gap between learning and application<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/jana-gonnermann-mueller\/\">Jana Gonnermann-M\u00fcller<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-0313-3779\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/philip-wotschack-en\/\">Philip Wotschack<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-5899-9310\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/martin-krzywdzinski\/\">Martin Krzywdzinski<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-3927-6616\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/norbert-gronau-en\/\">Norbert Gronau<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-8966-0731\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     The increasing complexity of industrial environments demands new competencies from workers, particularly the ability to interact with advanced digital systems. Traditional training methods often fall short in supporting the effective transfer of applied knowledge to such contexts, and the effectiveness of this transfer, as measured by performance-based outcomes, remains to be investigated. To address this gap, the present study employed a between-subjects experimental design comparing augmented reality- and paper-based instructions within a realistic production training scenario. The results show that participants who learned with augmented reality completed the production process significantly faster and with fewer errors than those using paper instructions. In addition, learners using augmented reality reported higher usability and experienced lower cognitive load during training. These findings suggest that augmented reality can enhance the transfer of practical skills in industrial ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 41 | 2025 | Edition 5 | Pages 22-29 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.25.5.22\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.25.5.22<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/camera-ergonomics-assessment\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Liebchen_AdobeStock_1337181489_Lamina-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Liebchen_AdobeStock_1337181489_Lamina-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Liebchen_AdobeStock_1337181489_Lamina-196x180.jpg\" alt=\"Camera-Based Ergonomics Assessment\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Camera-Based Ergonomics Assessment\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Camera-Based Ergonomics Assessment<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Developing a method for use in manual assembly<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/jannik-liebchen\/\">Jannik Liebchen<\/a> <a href=\"https:\/\/orcid.org\/0009-0005-5013-3017\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/burak-vur-en\/\">Burak Vur<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-7345-2329\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/michael-freitag-en\/\">Michael Freitag<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-1767-9104\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Targeted ergonomic design of workplaces and processes can counteract the challenges of manual assembly and improve working conditions. However, current expert ergonomics assessments are time-consuming and resource-intensive. This article presents an automated assessment method based on the Rapid Upper Limb Assessment (RULA). Results from a laboratory study within an assembly scenario are consistent with expert evaluations.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 41 | 2025 | Edition 5 | Pages 120-126 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.25.5.116\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.25.5.116<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/production-planning-control\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Schneider_AdobeStock_1131195258_Gorodenkoff-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Schneider_AdobeStock_1131195258_Gorodenkoff-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Schneider_AdobeStock_1131195258_Gorodenkoff-196x180.jpg\" alt=\"Automation of Production Planning and Control\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Automation of Production Planning and Control\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Automation of Production Planning and Control<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">A deep dive into production control with intelligent agents<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/jonas-schneider-en\/\">Jonas Schneider<\/a> <a href=\"https:\/\/orcid.org\/0009-0002-7329-2270\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/peter-nyhuis-en\/\">Peter Nyhuis<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-4509-4114\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/matthias-schmidt-en\/\">Matthias Schmidt<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-1402-3644\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     How can artificial intelligence (AI) automate production planning and control? This study examines its potential to enhance efficiency in modern production environments. The focus is on establishing a robust data infrastructure that integrates real-time, historical, and contextual data to create a solid basis for AI models. Reinforcement learning (RL) is applied to aid automation. A roadmap for implementation, focusing on practical application, is presented. This roadmap incorporates simulation-based training methods and outlines strategies for continuous improvement and adaptation of production processes.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 41 | 2025 | Edition 5 | Pages 86-93 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.25.5.84\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.25.5.84<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/increasing-resilience-logistics-it\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/08\/Hauser_Baur_Beitragsbild-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/08\/Hauser_Baur_Beitragsbild-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/08\/Hauser_Baur_Beitragsbild-196x180.webp\" alt=\"Increasing Resilience in Logistics with IT\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Increasing Resilience in Logistics with IT\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Increasing Resilience in Logistics with IT<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Investigating supply chain risk management information systems<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/alexander-baur\/\">Alexander Baur<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/jasmin-hauser\/\">Jasmin Hauser<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/dieter-uckelmann-en\/\">Dieter Uckelmann<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-7657-3292\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     <div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"expert\" data-targeturl=\"https:\/\/industry-science.com\/en\/articles\/increasing-resilience-logistics-it\/\" title=\"please login or register - content can only be read in its entirety with a subscription  expert\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>The blockage of the Suez Canal in 2021, caused by the accident involving the container ship Ever Given, clearly illustrates the need to design global supply chains in such a way that they can respond quickly to disruptions. In a volatile, uncertain, complex, and ambiguous (VUCA) environment, conventional logistics processes that focus on efficiency, and supply chain management methods in particular, are increasingly reaching their limits. Resilience, achieved through a combination of robustness and agility, is essential to ensure responsiveness. This article analyzes how risk management information systems (RMIS) can increase resilience. The analysis covers data availability, data transparency, modeling and simulation of risk scenarios, and the development of appropriate emergency action plans. Despite existing challenges in designing IT infrastructure, the measures mentioned have the potential to increase resilience in logistics.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 41 | Edition 4 | Pages 36-42<\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>Telepresence robots (TPR) support the ongoing digital change in work and leisure amid climate and societal change. Two cases are introduced in this article, one in production and one in social participation, to illustrate the users&#8217; requirements, which largely coincide. Some of the most important requirements include audio and video quality, a stable wifi connection, active and passive visual skills and even flooring.<\/p>\n","protected":false},"featured_media":107399,"menu_order":0,"template":"","categories":[79167,79168,79298],"tags":[],"product_cat":[],"topic":[68005],"technology":[68674],"knowhow":[],"industry":[79354,79496],"writer":[83779,83777,83776,83778],"content-type":[],"potential":[67894],"solution":[],"glossary":[],"class_list":["post-105972","article","type-article","status-publish","has-post-thumbnail","category-design-en","category-translate-en","category-typeset","topic-automation","technology-robotics","industry-smart-objects","industry-technical-services","writer-angelika-c-bullinger-en","writer-danny-rueffert-en","writer-francisco-hernandez-en","writer-holger-hoffmann-en","potential-innovation-en","product","first","instock","downloadable","virtual","sold-individually","taxable","purchasable","product-type-article"],"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez.jpg",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-150x150.jpg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-666x375.jpg",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-768x432.jpg",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-1024x576.jpg",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-1032x320.jpg",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-764x376.jpg",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-392x320.jpg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-608x496.jpg",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-640x325.jpg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-274x376.jpg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-514x292.jpg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-320x440.jpg",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-514x289.jpg",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-196x180.jpg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez.jpg",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez.jpg",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-510x510.jpg",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-510x287.jpg",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-100x100.jpg",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/10\/Hernandez-64x36.jpg",64,36,true]},"uagb_author_info":{"display_name":"Florian Goldmann","author_link":"https:\/\/industry-science.com\/en\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"Telepresence robots (TPR) support the ongoing digital change in work and leisure amid climate and societal change. Two cases are introduced in this article, one in production and one in social participation, to illustrate the users' requirements, which largely coincide. Some of the most important requirements include audio and video quality, a stable wifi connection,&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/105972","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/types\/article"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media\/107399"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=105972"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=105972"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=105972"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=105972"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=105972"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=105972"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=105972"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=105972"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=105972"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=105972"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=105972"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=105972"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=105972"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}