Improving dual-arm assembly by master-slave compliance
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Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
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Date
2019-05-01
Major/Subject
Mcode
Degree programme
Language
en
Pages
7
8676-8682
8676-8682
Series
Proceedings of the International Conference on Robotics and Automation, ICRA 2019, IEEE International Conference on Robotics and Automation
Abstract
In this paper we show how different choices regarding compliance affect a dual-arm assembly task. In addition, we present how the compliance parameters can be learned from a human demonstration. Compliant motions can be used in assembly tasks to mitigate pose errors originating from, for example, inaccurate grasping. We present analytical background and accompanying experimental results on how to choose the center of compliance to enhance the convergence region of an alignment task. Then we present the possible ways of choosing the compliant axes for accomplishing alignment in a scenario where orientation error is present. We show that an earlier presented Learning from Demonstration method can be used to learn motion and compliance parameters of an impedance controller for both manipulators. The learning requires a human demonstration with a single teleoperated manipulator only, easing the execution of demonstration and enabling usage of manipulators at difficult locations as well. Finally, we experimentally verify our claim that having both manipulators compliant in both rotation and translation can accomplish the alignment task with less total joint motions and in shorter time than moving one manipulator only. In addition, we show that the learning method produces the parameters that achieve the best results in our experiments.Description
Keywords
Task analysis, Manipulators, Tools, Jamming, Wrist, Trajectory
Other note
Citation
Suomalainen, M, Calinon, S, Pignat, E & Kyrki, V 2019, Improving dual-arm assembly by master-slave compliance . in Proceedings of the International Conference on Robotics and Automation, ICRA 2019 ., 8793977, IEEE International Conference on Robotics and Automation, IEEE, pp. 8676-8682, IEEE International Conference on Robotics and Automation, Montreal, Quebec, Canada, 20/05/2019 . https://doi.org/10.1109/ICRA.2019.8793977
