IROS 2015 Paper Abstract


Paper ThDT7.6

Caldas, Alex (CEA LIST), Micaelli, Alain (Commissariat l'Energie Atomique), Grossard, Mathieu (CEA LIST - Interactive Robotic Laboratory), Makarov, Maria (SUPELEC Systems Sciences (E3S)), Rodriguez-Ayerbe, Pedro (SUPELEC Systems Sciences (E3S)), Dumur, Didier (Supelec)

On Task-Decoupling by Robust Eigenstructure Assignment for Dexterous Manipulation

Scheduled for presentation during the Regular session "Dexterous Manipulation 1" (ThDT7), Thursday, October 1, 2015, 15:15−15:30, Saal B3

2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sept 28 - Oct 03, 2015, Congress Center Hamburg, Hamburg, Germany

This information is tentative and subject to change. Compiled on July 19, 2019

Keywords Dexterous Manipulation, Motion Control, Multifingered Hands


This paper presents a new control scheme for dexterous manipulation of an object by a multifingered hand. The aim of this control is to ensure the tracking by the object of specific trajectories depending on the task. More specifically, we consider a decoupling control according to the motion directions in the task space. The control scheme is based on a new eigenstructure assignment method, where the placement of the closed-loop eigenvalues ensures the stability of the system hand/object, and the strict placement of the object-level eigenvectors ensures the system decoupling. A parallel is made between task specifications and synergies. Current synergy controllers are often bio-inspired and based on the analysis of synergies in the human hand. The proposed algorithm allows the specification of precise object level performance according to the task, and to find the related synergies. Moreover, robustness to uncertainties on the contact point is an additional objective of the control law, and the effect of these uncertainties on the decoupling is investigated. Simulation results are presented and illustrate the decoupling effect of the control law on the system hand/object in the 2D-cartesian space.



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