Abstract—In this video, we present approaches for learning throwing and catching skills. We first show how a hitting skill (i.e., table tennis) can be learned using a combination of imitation and reinforcement learning. This hitting skill is subsequently generalized to a catching skill. Secondly, we show how a robot can adapt a throwing skill to new targets. Finally, we demonstrate that a BioRob and a Barrett WAM can play catch together using the previously acquired skills. I
Abstract — We seek to enable users to teach personal robots arbitrary tasks so that the robot can be...
Perceptual-motor tasks offer redundant solutions to achieve a goal. However, not all solutions are e...
Playing table tennis is a difficult task for robots, especially due to their limitations of accelera...
Learning new motor tasks from physical interactions is an important goal for both robotics and machi...
Efficient acquisition of new motor skills is among the most important abilities in order to make rob...
Abstract. Learning robots that can acquire new motor skills and re-fine existing ones have been a lo...
Table tennis is a sufficiently complex motor task for studying complete skill learning systems. It c...
Most tasks that humans need to accomplished in their everyday life require certain motor skills. Alt...
Abstract. This paper describes an autonomous learning method used with real robots in order to acqui...
Ever since the word "robot" was introduced to the English language by Karel Capek's play "Rossum's U...
We are investigating how to program robots so that they learn tasks from practice. One method, tas...
The acquisition and self-improvement of novel motor skills is among the most important problems in r...
Catching flying objects is a challenging task in human–robot interaction. Traditional techniques pre...
This paper proposes a combined learning framework for a table tennis robot. In a typical robot table...
Imitative learning facilitates skill acquisition in a social environment where one agent learns how ...
Abstract — We seek to enable users to teach personal robots arbitrary tasks so that the robot can be...
Perceptual-motor tasks offer redundant solutions to achieve a goal. However, not all solutions are e...
Playing table tennis is a difficult task for robots, especially due to their limitations of accelera...
Learning new motor tasks from physical interactions is an important goal for both robotics and machi...
Efficient acquisition of new motor skills is among the most important abilities in order to make rob...
Abstract. Learning robots that can acquire new motor skills and re-fine existing ones have been a lo...
Table tennis is a sufficiently complex motor task for studying complete skill learning systems. It c...
Most tasks that humans need to accomplished in their everyday life require certain motor skills. Alt...
Abstract. This paper describes an autonomous learning method used with real robots in order to acqui...
Ever since the word "robot" was introduced to the English language by Karel Capek's play "Rossum's U...
We are investigating how to program robots so that they learn tasks from practice. One method, tas...
The acquisition and self-improvement of novel motor skills is among the most important problems in r...
Catching flying objects is a challenging task in human–robot interaction. Traditional techniques pre...
This paper proposes a combined learning framework for a table tennis robot. In a typical robot table...
Imitative learning facilitates skill acquisition in a social environment where one agent learns how ...
Abstract — We seek to enable users to teach personal robots arbitrary tasks so that the robot can be...
Perceptual-motor tasks offer redundant solutions to achieve a goal. However, not all solutions are e...
Playing table tennis is a difficult task for robots, especially due to their limitations of accelera...