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Dimensionality reduction for hand-independent dexterous robotic grasping

Matei Ciocarlie; Corey Goldfeder; Peter K. Allen

Title:
Dimensionality reduction for hand-independent dexterous robotic grasping
Author(s):
Ciocarlie, Matei
Goldfeder, Corey
Allen, Peter K.
Date:
Type:
Articles
Department:
Computer Science
Permanent URL:
Book/Journal Title:
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems: San Diego, CA, 29 October - 2 November 2007
Publisher:
IEEE
Publisher Location:
Piscataway, N.J.
Abstract:
In this paper, we build upon recent advances in neuroscience research which have shown that control of the human hand during grasping is dominated by movement in a configuration space of highly reduced dimensionality. We extend this concept to robotic hands and show how a similar dimensionality reduction can be defined for a number of different hand models. This framework can be used to derive planning algorithms that produce stable grasps even for highly complex hand designs. Furthermore, it offers a unified approach for controlling different hands, even if the kinematic structures of the models are significantly different. We illustrate these concepts by building a comprehensive grasp planner that can be used on a large variety of robotic hands under various constraints.
Subject(s):
Robotics
Publisher DOI:
http://dx.doi.org/10.1109/IROS.2007.4399227
Item views:
177
Metadata:
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