Multi-fingered grasping experiments using real-time grasping force optimization

A common approach to control multi-fingered grippers during stable grasping is the stiffness control scheme. "Internal" stiffness parameters and suitable references for internal grasping forces-often determined heuristically-ensure a stable grasp. In this paper, optimal internal forces are obtained in real-time by linearly constrained gradient flows on the smooth manifold of positive definite matrices. This optimization approach is a generic one for any number of fingers in contact with the object. Experiments with the 3-fingered Darmstadt hand show the simplicity and efficiency of the approach.

[1]  Kazuo Tanie,et al.  Tactile sensor based manipulation of an unknown object by a multifingered hand with rolling contact , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[2]  K. Kleinmann,et al.  A modular approach for solving the peg-in-hole problem with a multifingered gripper , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[3]  Tsuneo Yoshikawa,et al.  Coordinated Dynamic Hybrid Position/Force Control for Multiple Robot Manipulators Handling One Constrained Object , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[4]  Bernard Roth,et al.  Analysis of Multifingered Hands , 1986 .

[5]  Antonio Bicchi Optimal Control of Robotic Grasping , 1992, 1992 American Control Conference.

[6]  Makoto Kaneko,et al.  A three fingered, multijointed gripper for experimental use , 1990, EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications.

[7]  Pramath R. Sinha,et al.  A contact stress model for multifingered grasps of rough objects , 1992, IEEE Trans. Robotics Autom..

[8]  S. Shankar Sastry,et al.  Dynamic Control of Redundant Manipulators , 1988, 1988 American Control Conference.

[9]  Georg von Wichert,et al.  Solving insertion tasks with a multifingered gripper by fumbling , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[10]  Hideki Hashimoto,et al.  Grasping force optimization for multi-fingered robot hands , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[11]  Kiyoshi Nagai,et al.  Analysis of multi-fingered grasping and manipulation , 1990 .

[12]  L. J. Leifer,et al.  Automatic grasping: An optimization approach , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[13]  David E. Orin,et al.  Control of Force Distribution in Robotic Mechanisms Containing Closed Kinematic Chains , 1981 .

[14]  David E. Orin,et al.  Efficient algorithm for optimal force distribution-the compact-dual LP method , 1990, IEEE Trans. Robotics Autom..

[15]  Tsuneo Yoshikawa,et al.  Evaluation and determination of grasping forces for multifingered hands , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[16]  Hideki Hashimoto,et al.  Dextrous hand grasping force optimization , 1996, IEEE Trans. Robotics Autom..

[17]  Tsuneo Yoshikawa,et al.  Dynamic hybrid position/force control of robot manipulators--Description of hand constraints and calculation of joint driving force , 1986, IEEE Journal on Robotics and Automation.