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User Affect Elicitation with a Socially Emotional Robot

Learning Sequential Force Interaction Skills

Honda Research Institute Europe, 63073 Offenbach, Germany
Cognitive Robotics Department, Delft University of Technology, 2628 CD Delft, The Netherlands
Institute for Intelligent Autonomous Systems, Technische Universität Darmstadt, 64289 Darmstadt, Germany
Max Planck Institute for Intelligent Systems, 72076 Tübingen, Germany
Author to whom correspondence should be addressed.
Robotics 2020, 9(2), 45;
Received: 2 April 2020 / Revised: 10 June 2020 / Accepted: 15 June 2020 / Published: 17 June 2020
(This article belongs to the Special Issue Feature Papers 2020)
Learning skills from kinesthetic demonstrations is a promising way of minimizing the gap between human manipulation abilities and those of robots. We propose an approach to learn sequential force interaction skills from such demonstrations. The demonstrations are decomposed into a set of movement primitives by inferring the underlying sequential structure of the task. The decomposition is based on a novel probability distribution which we call Directional Normal Distribution. The distribution allows infering the movement primitive’s composition, i.e., its coordinate frames, control variables and target coordinates from the demonstrations. In addition, it permits determining an appropriate number of movement primitives for a task via model selection. After finding the task’s composition, the system learns to sequence the resulting movement primitives in order to be able to reproduce the task on a real robot. We evaluate the approach on three different tasks, unscrewing a light bulb, box stacking and box flipping. All tasks are kinesthetically demonstrated and then reproduced on a Barrett WAM robot. View Full-Text
Keywords: human-robot interaction; motor skill learning; learning from demonstration; behavioral cloning human-robot interaction; motor skill learning; learning from demonstration; behavioral cloning
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MDPI and ACS Style

Manschitz, S.; Gienger, M.; Kober, J.; Peters, J. Learning Sequential Force Interaction Skills. Robotics 2020, 9, 45.

AMA Style

Manschitz S, Gienger M, Kober J, Peters J. Learning Sequential Force Interaction Skills. Robotics. 2020; 9(2):45.

Chicago/Turabian Style

Manschitz, Simon, Michael Gienger, Jens Kober, and Jan Peters. 2020. "Learning Sequential Force Interaction Skills" Robotics 9, no. 2: 45.

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