Learning and Execution of Object Manipulation Tasks on Humanoid Robots
- KIT Scientific Publishing 2018
- 1 electronic resource (X, 236 p. p.)
Open Access
Equipping robots with complex capabilities still requires a great amount of effort. In this work, a novel approach is proposed to understand, to represent and to execute object manipulation tasks learned from observation by combining methods of data analysis, graphical modeling and artificial intelligence. Employing this approach enables robots to reason about how to solve tasks in dynamic environments and to adapt to unseen situations.
Creative Commons
English
KSP/1000078313 9783731507499
10.5445/KSP/1000078313 doi
Autonomous systems Graphical programming Humanoide Robotik Programming by demonstration Autonome Systeme Robotik Programmieren durch Vormachen Robotics Humanoid robotics Graphische Programmierung