Joint torque optimization for quasi-static graspless manipulation

Graspless manipulation is easily interfered by external disturbances because the manipulated object is not completely held by a robot hand and supported by an environment such as a floor. Thus it is important to ensure the manipulation is executed robustly against some disturbances. In our works, a rigid-body-based analysis of indeterminate contact forces for quasi-static graspless manipulation has been proposed, and also joint torque optimization for robotic hands. The joint torques of the robot is determined in consideration of some robustness of manipulation against disturbances, which include changes or estimation errors of friction. In the analysis of contact forces in quasi-statics, a kinematic constraint on static friction is considered to exclude infeasible sets of frictional force, with considering treatment of kinetic friction. Additionally, new objective functions for computing optimal joint torques in both static and quasi-static graspless manipulation are proposed. Some numerical samples of both applications are shown to verify our proposed methods.

[1]  Tsuneo Yoshikawa,et al.  Optimization of robot hand power grasps , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[2]  Antonio Bicchi,et al.  Rolling bodies with regular surface: controllability theory and applications , 2000, IEEE Trans. Autom. Control..

[3]  Antonio Bicchi,et al.  Analysis and control of power grasping , 1991, Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91.

[4]  Toru Omata,et al.  Rigid body analysis of the indeterminate grasp force in power grasps , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[5]  Shinichi Hirai,et al.  Kinematics and Statics of Manipulation Using the Theory of Polyhedral Convex Cones , 1993, Int. J. Robotics Res..

[6]  Karun B. Shimoga,et al.  Robot Grasp Synthesis Algorithms: A Survey , 1996, Int. J. Robotics Res..

[7]  Satoshi Makita,et al.  A quantitative test for the robustness of graspless manipulation , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[8]  Joel W. Burdick,et al.  A Polyhedral Bound on the Indeterminate Contact Forces in Planar Quasi-Rigid Fixturing and Grasping Arrangements , 2006, IEEE Transactions on Robotics.

[9]  Masayuki Inaba,et al.  Pivoting: A new method of graspless manipulation of object by robot fingers , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).

[10]  Toru Omata Rigid body analysis of power grasps: bounds of the indeterminate grasp force , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[11]  Satoshi Makita,et al.  Analysis of indeterminate contact forces in robotic grasping and contact tasks , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  Carl de Boor An empty exercise , 1990 .

[13]  透 小俣 パワーグラスプの最適関節トルク計算法(機械力学,計測,自動制御) , 2002 .

[14]  Yong Yu,et al.  Optimization of Robot Hand Power Grasps , 1999 .

[15]  Peter Blau,et al.  Friction science and technology , 1995 .

[16]  Vijay Kumar,et al.  Robotic grasping and contact: a review , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[17]  Matthew T. Mason,et al.  Progress in Nonprehensile Manipulation , 1999, Int. J. Robotics Res..

[18]  Yan-Bin Jia,et al.  Three-dimensional impact: energy-based modeling of tangential compliance , 2013, Int. J. Robotics Res..

[19]  Jeffrey C. Trinkle,et al.  An Investigation of Frictionless Enveloping Grasping in the Plane , 1988, Int. J. Robotics Res..

[20]  Yoshihiko Nakamura,et al.  Robustness of power grasp , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[21]  Satoshi Makita,et al.  Joint torque optimization for grasp/graspless manipulation , 2007 .