Research on grasping forces optimization of a soft-finger dexterous hand

To contact constraints model of soft finger, replacing paired friction cones by linear paired polyhedral, so as to realize the linearization of contact constraints model. The linear constraints inequalities of grasping forces is derived, and the objective function of the smallest sum of output torque squares is built, so the torque optimization is translated into quadratic programming. By the simplex method, quadratic programming is solved quickly, greatly improve the real-time performance. At last, the effectiveness of proposed algorithm was verified in numerical simulation with grasping a plane object when there is a soft finger contact.

[1]  Vijay R. Kumar,et al.  Suboptimal algorithms for force distribution in multifingered grippers , 1989, IEEE Trans. Robotics Autom..

[2]  Pramath R. Sinha,et al.  A contact stress model for multifingered grasps of rough objects , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[3]  Jeffrey C. Trinkle,et al.  Grasp analysis as linear matrix inequality problems , 2000, IEEE Trans. Robotics Autom..

[4]  Vijay R. Kumar,et al.  Sub-optimal algorithms for force distribution in multifingered grippers , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[5]  Tsuneo Yoshikawa,et al.  Dynamics and Stability in Coordination of Multiple Robotic Mechanisms , 1989, Int. J. Robotics Res..

[6]  Yunhui Liu,et al.  Qualitative test and force optimization of 3-D frictional form-closure grasps using linear programming , 1998, IEEE Trans. Robotics Autom..

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