robotics

In contrast to the use of robots in standardized production processes, robots must be flexible and adaptable within dynamic logistics processes in order to cope with variable environmental conditions and non-standardized goods. Due to the recent advances in the field of artificial intelligence and networking through industry 4.0, robots will perform complex tasks in logistics in a reliable way in future. A crucial component of a robot system represents the interpretation of the work environment with the help of multi-modal sensor systems, especially image processing systems. This paper describes applications for robotic systems in logistics as well as a concrete example of focusing on the interpretation of multi-modal sensor data for the automation of a logistics task.

New areas of application arise for robots due to collaborative robots and new operation concepts. We describe important characteristics of these robotic systems and, as a possible application area for these systems, we present in this article a robotic assistant system for manual manufacturing tasks, which is controlled with a multi-modal user interface.

In many fields of production for processing tasks with high frequency and repeatability, robots are commonly used. However, the use of industrial and service robots also increases in the logistics sector. Container handling, particularly the unloading of for example coffee sacks, has enormous potential for automation with robotics. The heavy weight together with the deformability of these sacks and unpredictable stack situations inside a container have the highest mechanical and cognitive demands on the gripper technology and the corresponding gripping strategy. This paper describes the development and implementation of such a gripping process.

In the field of automobile production, automation has been implemented since the nineteen-seventies. In logistics, however, robotics has only been used to automate logistics processes with low complexity. These include processes with a high repetition rate and a highly standardized goods portfolio. In cooperation with EASY-ROB, BIBA has developed a new strategy for an intuitive programming of robotics that might be used to fulfill rather complex tasks. The operator defines the process type and important parameters via a common tracking system. Based on this data, a simulation tool calculates the movement of the robot and executes a collision control. Finally, the simulation tool generates the corresponding machine code and the robot starts its process. The intuitive programming excels at a favorably cost-benefit ratio. A demonstrator, focusing on the unloading of pallets has been presented on the CeMAT 2011. After a very brief introduction, interested visitors were able to operate the ...

Robots should be able to act as flexibly as possible in different environments and contexts of action. In order to realise this goal, learning algorithms are developed which permit learning following nature’s example. If a machine that learns in this way causes damage, the question arises as to who is responsible for it. A grey area between manufacturer and owner responsibility may arise. Starting from criteria of replace ability, a firm suggestion is made as to how this grey area could be handled.