A grasp synthesis and grasp synergy analysis for anthropomorphic hand

Grasping has always been a hot topic in multidisciplinary field-anatomy, neuroscience and robotics. Recent research on robotic hand grasping has concentrated on introducing the grasp mechanism and characteristics of human hand to robotic hand. This paper analyzes the problem of generating grasp configurations for given objects. A one-step grasp synthesis is applied to a 20DoF five-finger anthropomorphic hand. Experiment results demonstrate many efficient grasps are generated by the proposed grasp synthesis. By analyzing grasp configurations, it is found that the mode of the grasp is varied corresponding to the size of the object relative to the hand. Then a principle component analysis (PCA) is carried on for the generated grasp configurations. The results indicate that the first 3 principle components account for about 80% of the whole variance of the joint angles. It illustrates that the dimension of the grasp configuration space could be highly reduced in this way.

[1]  Christine L. MacKenzie,et al.  Opposition space and human prehension , 1990 .

[2]  W. W.,et al.  The Principles of Anatomy as Seen in the Hand , 1942, Nature.

[3]  Aude Billard,et al.  Bridging the Gap: One shot grasp synthesis approach , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  Raúl Suárez Feijóo,et al.  Grasp quality measures , 2006 .

[5]  J. F. Soechting,et al.  Postural Hand Synergies for Tool Use , 1998, The Journal of Neuroscience.

[6]  Mark R. Cutkosky,et al.  On grasp choice, grasp models, and the design of hands for manufacturing tasks , 1989, IEEE Trans. Robotics Autom..

[7]  Aude Billard,et al.  Synergy-level Grasp Synthesis Learning , 2013, ICRA 2013.

[8]  Matei T. Ciocarlie,et al.  Dimensionality reduction for hand-independent dexterous robotic grasping , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Lindsay I. Smith,et al.  A tutorial on Principal Components Analysis , 2002 .

[10]  Richard M. Murray,et al.  A Mathematical Introduction to Robotic Manipulation , 1994 .

[11]  Antonio Bicchi,et al.  SynGrasp: A MATLAB toolbox for grasp analysis of human and robotic hands , 2013, 2013 IEEE International Conference on Robotics and Automation.

[12]  Matei T. Ciocarlie,et al.  Hand Posture Subspaces for Dexterous Robotic Grasping , 2009, Int. J. Robotics Res..

[13]  J. Napier.  The prehensile movements of the human hand. , 1956, The Journal of bone and joint surgery. British volume.

[14]  Franc Solina,et al.  Superquadrics for Segmenting and Modeling Range Data , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  F. Jones,et al.  The Principles of Anatomy as Seen in the Hand , 1942 .

[16]  Henrik I. Christensen,et al.  Automatic grasp planning using shape primitives , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[17]  Antonio Bicchi,et al.  On the role of hand synergies in the optimal choice of grasping forces , 2010, Auton. Robots.

[18]  Lorenz T. Biegler,et al.  Failure of global convergence for a class of interior point methods for nonlinear programming , 2000, Math. Program..