Haptic guidance to solve the peg-in-hole task based on learning from demonstration

Poster (2015)
Author(s)

C. J. Perez-Del-Pulgar (European Space Agency (ESA), Universidad de Málaga)

Jan Smisek (TU Delft - Aerospace Engineering, European Space Agency (ESA))

V. F. Munoz (Universidad de Málaga)

André Schiele (TU Delft - Mechanical Engineering, European Space Agency (ESA))

Research Group
Control & Simulation
More Info
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Publication Year
2015
Language
English
Research Group
Control & Simulation
Event
2nd Workshop on Machine Learning in Planning and Control of Robot Motion (2015-10-02 - 2015-10-02), Hamburg, Germany
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185

Abstract

Learning from Demonstration has been successfully used in robotics for trajectory generation. However, this methodology has not been used to solve generic
tasks by haptic guidance in teleoperation yet. Therefore, the aim of this paper is to solve the peg-in-hole insertion task using Learning from Demonstration, guiding the operator during the execution of this task in haptic teleoperation.

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