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

C. J. Perez-Del-Pulgar, Jan Smisek, V. F. Munoz, André Schiele

Research output: Contribution to conferencePosterScientific

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.
Original languageEnglish
Number of pages2
Publication statusPublished - 2015
Event2nd Workshop on Machine Learning in Planning and Control of Robot Motion - Hamburg, Germany
Duration: 2 Oct 20152 Oct 2015

Workshop

Workshop2nd Workshop on Machine Learning in Planning and Control of Robot Motion
CountryGermany
CityHamburg
Period2/10/152/10/15

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    Perez-Del-Pulgar, C. J., Smisek, J., Munoz, V. F., & Schiele, A. (2015). Haptic guidance to solve the peg-in-hole task based on learning from demonstration. Poster session presented at 2nd Workshop on Machine Learning in Planning and Control of Robot Motion, Hamburg, Germany.