—Learning control is a concept for controlling dynamic systems in an iterative manner. It arises from the recognition that robotic manipulators are usually used to perform repeti...
— This paper puts forward an approach for a mobile robot to recognize the human’s manipulative actions from different single camera views. While most of the related work in act...
Zhe Li, Sven Wachsmuth, Jannik Fritsch, Gerhard Sa...
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
This article investigates fundamental issues in scaling autonomous personal robots towards open-ended sets of everyday manipulation tasks which involve high complexity and vague j...
For robots to become prevalent in human environments, the robots need to be able to perform complex tasks often involving sequential repetition of actions. In this work, we presen...