On the role of hand synergies in the optimal choice of grasping forces

Recent work on the analysis of natural and robotic hands has introduced the notion of postural synergies as a principled organization of their complexity, based on the physical characteristics of the hand itself. Such characteristics include the mechanical arrangements of joints and fingers, their c...

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Bibliographic Details
Published in:Autonomous robots 2011-10, Vol.31 (2-3), p.235-252
Main Authors: Gabiccini, M., Bicchi, A., Prattichizzo, D., Malvezzi, M.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Autonomous
Computer Imaging
Contact
Control
Couplings
End effectors
Engineering
Fingers
Grasping
Grasping (robotics)
Grasping force
Human beings
Mechatronics
Motion planning
Optimization
Parameter uncertainty
Pattern Recognition and Graphics
Physical properties
Posture
Reflexes
Robotics
Robotics and Automation
Robots
Robustness (mathematics)
Stiffness
Stress concentration
Vision
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Summary:Recent work on the analysis of natural and robotic hands has introduced the notion of postural synergies as a principled organization of their complexity, based on the physical characteristics of the hand itself. Such characteristics include the mechanical arrangements of joints and fingers, their couplings, and the low-level control reflexes, that determine the specific way the concept of “hand” is embodied in a human being or a robot. While the focus of work done so far with postural synergies has been on motion planning for grasp acquisition, in this paper we set out to investigate the role that different embodiments have on the choice of grasping forces, and on the ultimate quality of the grasp. Numerical results are presented showing quantitatively the role played by different synergies (from the most fundamental to those of higher-order) in making a number of different grasps possible. The effect of number and types of engaged synergies on the distribution of optimal grasp forces is considered. Moreover, robustness of results is investigated with respect to variation in uncertain parameters such as contact and joint stiffness.
ISSN:0929-5593
1573-7527
DOI:10.1007/s10514-011-9244-1