Optimal grasping based on non-dimensionalized performance indices

For a multi-fingered hand to grasp an object, there are numerous ways to grasp it stably, and thus an optimal grasp planning is necessary to find the optimal grasp point for achieving the objective of the given task. First, we define several grasp indices to evaluate the quality of each feasible grasp. Since the physical meanings of the defined grasp induces are different from each other, it is not easy to combine those indices to identify the optimal grasping. In this paper, we propose a new generalized grasping performance index to represent all of the grasp indices as one measure based on a non-dimensional technique. Through simulations, we show that the proposed optimal grasp planning is resemblant to the physical sense of human grasping.

[1]  Q. M. Jonathan Wu,et al.  A fast two dimensional image based grasp planner , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[2]  정낙영,et al.  조작성과 안정성을 고려한 다지 로봇손의 최적파지 설계 ( Optimal Grasp Design of a Multi-fingered Robot Hand Based on Manipulability and Stability ) , 1998 .

[3]  Young C. Park,et al.  Grasp Synthesis of Polygonal Objects Using a Three-Fingered Robot Hand , 1992 .

[4]  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.

[5]  Audra E. Kosh,et al.  Linear Algebra and its Applications , 1992 .

[6]  S. Shankar Sastry,et al.  Task-oriented optimal grasping by multifingered robot hands , 1987, IEEE J. Robotics Autom..

[7]  Kristin Lee Wood.  A method for the representation and manipulation of uncertainties in preliminary engineering design , 1990 .

[8]  Tsutomu Hasegawa,et al.  Manipulation of an object by a multi-fingered hand with multi-sensors , 1996, Proceedings of the 1996 IEEE IECON. 22nd International Conference on Industrial Electronics, Control, and Instrumentation.

[9]  S. Shankar Sastry,et al.  Grasping and Coordinated Manipulation by a Multifingered Robot Hand , 1989, Int. J. Robotics Res..

[10]  Tsuneo Yoshikawa,et al.  Grasping and manipulation by arm/multifingered-hand mechanisms , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[11]  Gregory P. Starr,et al.  Optimal grasping using a multifingered robot hand , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[12]  Il Hong Suh,et al.  A biomimetic compliance control of robot hand by considering structures of human finger , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

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

[14]  Kazuo Tanie,et al.  Dynamic grasping force control using tactile feedback for grasp of multifingered hand , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[15]  Michael Sorg,et al.  Visual determination of 3D grasping points on unknown objects with a binocular camera system , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).