Abstract
In this paper, we address the challenge of robotic manipulation of elastically deforming objects. To this end, we model elastic objects using the Finite Element Method. Through a quasi-static assumption, we leverage sensitivity analysis to mathematically model how changes in the robot's configuration affect the deformed shape of the object being manipulated. This enables an interactive, simulation-based control methodology, wherein user-specified deformations for the elastic objects are automatically mapped to joint angle commands. The optimization formulation we introduce is general, operates directly within a robot's workspace and can readily incorporate joint limits as well as collision avoidance between the links. We validate our control methodology on a YuMi® IRB 14000, which we use to manipulate a variety of elastic objects.
Original language | English |
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Title of host publication | 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3476-3481 |
Number of pages | 6 |
ISBN (Electronic) | 9781538680940 |
DOIs | |
State | Published - 27 Dec 2018 |
Event | 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018 - Madrid, Spain Duration: 1 Oct 2018 → 5 Oct 2018 |
Publication series
Name | IEEE International Conference on Intelligent Robots and Systems |
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ISSN (Print) | 2153-0858 |
ISSN (Electronic) | 2153-0866 |
Conference
Conference | 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018 |
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Country/Territory | Spain |
City | Madrid |
Period | 1/10/18 → 5/10/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Vision and Pattern Recognition
- Computer Science Applications