Improving productivity and worker conditions in assembly: Part 2 - Rapid deployment of learnable robot skills

Christian Vergara, Greet Van de Perre, Ilias El Makrini, Bram B. Van Acker, Jelle Saldien, Liliane Pintelon, Peter Chemweno, Raphaël Weuts, Karen Moons, Sofie Burggraeve, Bram Vanderborght, Erwin Aertbeliën, Wilm Decré

Research output: Contribution to conferencePaperpeer-review

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Abstract

Collaborative robots (cobots) have a strong po- tential to improve both productivity as well as the working conditions of assembly operators by assisting in their tasks and by decreasing their physical and cognitive stress. The use of cobots in factories however introduces multiple challenges: how should the overall assembly architecture look like? How to allocate specific (sub)tasks to the operator or the cobot? How to program and deploy the cobot? How to make changes to the robot program? In this paper dilogy, we briefly highlight our recent contri- butions to this field. In part I we presented our collaborative architecture for human-robot assembly tasks and discussed the working principles of our task allocation framework, based upon agent capabilities and ergonomic measurements. In this second part we focus on our programming by demonstration approach targeted at expediting the deployment of learnable robot skills.
Original languageEnglish
Publication statusPublished - Oct 2018
Externally publishedYes
Event2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018: Towards a Robotic Society - Madrid Municipal Conference Centre, Madrid, Spain
Duration: 1 Oct 20185 Oct 2018
https://www.iros2018.org/

Conference

Conference2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
Abbreviated titleIROS 2018
CountrySpain
CityMadrid
Period1/10/185/10/18
Internet address

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