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JRM Vol.16 No.4 pp. 374-380
doi: 10.20965/jrm.2004.p0374
(2004)

Paper:

Adaptive Modular Vector Field Control for Robot Contact Tasks in Uncertain Environments

Yohei Saitoh*, Zhiwei Luo**, and Keiji Watanabe*,**

*Dept. of Bio-Systems Engineering, Yamagata University, 4-3-16 Jonan, Yonezawa-shi, Yamagata, Japan

**Bio-Mimetic Control Research Center, RIKEN, 2271-130 Anagahora, Shimoshidami, Moriyama-ku, Nagoya, Japan

Received:
December 15, 2003
Accepted:
July 13, 2004
Published:
August 20, 2004
Keywords:
modular vector field control, robot, environmental model uncertainty, contact task
Abstract

We propose adaptive modular vector field control (AMVFC) for a robot manipulator to interact with uncertain environmental geometric constraints. Starting from an uncertain geometric model of the environment, we first parameterize the desired velocity vector field of the robot using the weighted combination of a set of basis vector fields. Then, to overcome the influence of environmental model uncertainty, we add force feedback to adjust robot dynamics and the weight parameters of the desired velocity field for the robot to approach the real environment. Simulation of a robot interacting with uncertain circles and an ellipse demonstrates the effectiveness of our approach.

Cite this article as:
Yohei Saitoh, Zhiwei Luo, and Keiji Watanabe, “Adaptive Modular Vector Field Control for Robot Contact Tasks in Uncertain Environments,” J. Robot. Mechatron., Vol.16, No.4, pp. 374-380, 2004.
Data files:
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Last updated on Oct. 21, 2021