The LearningGripper from Festo looks like an abstract form of the human hand. The four fingers of the compliant gripper are driven by 12 pneumatic bellows actuators with low-level pressurisation. Thanks to the process of machine learning, it is able to teach itself to carry out complex actions such as, for example, gripping and positioning an object. By means of the LearningGripper we demonstrate how the development of such complex systems will be accelerated in the production of the future. Furthermore, the specific usage of machine learning algorithms will increase the efficiency of whole production plants.
