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

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 conference › Paper › peer-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 language	English
Publication status	Published - Oct 2018
Externally published	Yes
Event	2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018: Towards a Robotic Society - Madrid Municipal Conference Centre, Madrid, Spain Duration: 1 Oct 2018 → 5 Oct 2018 https://www.iros2018.org/

Conference

Conference	2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
Abbreviated title	IROS 2018
Country/Territory	Spain
City	Madrid
Period	1/10/18 → 5/10/18
Internet address	https://www.iros2018.org/

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Vergara, C., Van de Perre, G., El Makrini, I., Van Acker, B. B., Saldien, J., Pintelon, L., Chemweno, P., Weuts, R., Moons, K., Burggraeve, S., Vanderborght, B., Aertbeliën, E., & Decré, W. (2018). Improving productivity and worker conditions in assembly: Part 2 - Rapid deployment of learnable robot skills. Paper presented at 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain.

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

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.",

author = "Christian Vergara and {Van de Perre}, Greet and {El Makrini}, Ilias and {Van Acker}, {Bram B.} and Jelle Saldien and Liliane Pintelon and Peter Chemweno and Rapha{\"e}l Weuts and Karen Moons and Sofie Burggraeve and Bram Vanderborght and Erwin Aertbeli{\"e}n and Wilm Decr{\'e}",

year = "2018",

month = oct,

language = "English",

note = "2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018 : Towards a Robotic Society, IROS 2018 ; Conference date: 01-10-2018 Through 05-10-2018",

url = "https://www.iros2018.org/",

}

Vergara, C, Van de Perre, G, El Makrini, I, Van Acker, BB, Saldien, J, Pintelon, L, Chemweno, P, Weuts, R, Moons, K, Burggraeve, S, Vanderborght, B, Aertbeliën, E & Decré, W 2018, 'Improving productivity and worker conditions in assembly: Part 2 - Rapid deployment of learnable robot skills', Paper presented at 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, 1/10/18 - 5/10/18.

Improving productivity and worker conditions in assembly: Part 2 - Rapid deployment of learnable robot skills. / Vergara, Christian; Van de Perre, Greet; El Makrini, Ilias et al.
2018. Paper presented at 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Improving productivity and worker conditions in assembly

T2 - 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018

AU - Vergara, Christian

AU - Van de Perre, Greet

AU - El Makrini, Ilias

AU - Van Acker, Bram B.

AU - Saldien, Jelle

AU - Pintelon, Liliane

AU - Chemweno, Peter

AU - Weuts, Raphaël

AU - Moons, Karen

AU - Burggraeve, Sofie

AU - Vanderborght, Bram

AU - Aertbeliën, Erwin

AU - Decré, Wilm

PY - 2018/10

Y1 - 2018/10

N2 - 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.

AB - 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.

M3 - Paper

Y2 - 1 October 2018 through 5 October 2018

ER -

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

Abstract

Conference

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