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  4. Dynamical System-based Motion Planning for Multi-Arm Systems: Reaching for moving objects
 
conference paper

Dynamical System-based Motion Planning for Multi-Arm Systems: Reaching for moving objects

Mirrazavi Salehian, Seyed Sina  
•
Figueroa Fernandez, Nadia Barbara  
•
Billard, Aude  
2017
IJCAI'17: Proceedings of the 26th International Joint Conference on Artificial Intelligence
International Joint Conference on Artificial Intelligence

The use of coordinated multi-arm robotic systems allows to preform manipulations of heavy or bulky objects that would otherwise be infeasible for a single-arm robot. This paper concisely introduces our work on coordinated multi-arm control [Salehian et al., 2016a], where we proposed a virtual object based dynamical systems (DS) control law to generate autonomous and synchronized motions for a multi-arm robot system. We show theoretically and empirically that the multi-arm + virtual object system converges asymptotically to a moving object. The proposed framework is validated on a dual-arm robotic system. We demonstrate that it can resynchronize and adapt the motion of each arm in a fraction of a second, even when the object’s motion is fast and not accurately predictable.

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ijcai17_final.pdf

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Preprint

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http://purl.org/coar/version/c_71e4c1898caa6e32

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openaccess

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12.94 MB

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Adobe PDF

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bc39dcbd61b1666d20d3fef086963a00

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