Regular physical training offers great potential in the prevention and therapy of degenerative diseases. It makes a decisive contribution to a healthy and self-determined life. Assistance systems, which motivate suitable for training and enable a safe, autonomous training, can provide meaningful support. The aim of the project is to develop a learning robot system that actively mobilizes forces and thus becomes an interactive training partner for humans. Basic skills are developed that enable the robot to perceive the posture, movement and strain of the human being. Based on this, he can adapt to the person and situation. Biomechanical models help to determine the optimal parameters. The development of the human-robot interaction algorithms takes into account that even in unexpected situations there is no overloading or endangering of the human being. The newly developed basic skills can also be transferred to other domestic and professional scenarios and used there sensibly. The learning algorithms and the model-based control make it possible, in particular, to address the physical performance of older persons.
- KUKA Roboter GmbH, Augsburg
- Koordinauten GmbH, Pforzheim
- Deutsche Sporthochschule Köln
- RWTH Aachen
- Karlsruher Institut für Technologie (KIT)
BMBF Promotional Program:“ Autonome Roboter für Assistenzfunktionen: InteraktiveGrundfertigkeiten“