Learning of task models for manipulation tasks in the circular factory (C04)

• Subject Area: Automation, Mechatronics, Control Systems, Intelligent Technical Systems, Robotics ; Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
• Term: since 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 471687386

The goal is to learn task models for bimanual manipulation tasks from human observation and to adapt and generalize them. A library of task models will be created, which will be continuously extended and improved based on the execution feedback humanoid and two-armed robots in the learning cell. WP1 deals with the segmentation of human demonstrations. In WP2, methods for learning task models from human demonstration will be developed. WP3 will adapt and generalize learned task models to similar products, while WP4 will address the mapping of task models to robots. WP5 is dedicated to data collection and annotation.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1574: A Circular Factory for the Perpetual Product
• Applicant Institution: Karlsruher Institut für Technologie
• Project Head: Professor Dr.-Ing. Tamim Asfour