Development of the master hand for grasping information capturing

Analysis of human hand grasp provides information that can be used to develop a grasping algorithm of robot hands that takes advantage of human knowledge and experience. In analysing the human hand grasp, not only motion of the fingers but also contact force acting on the fingertips should be measured. This paper presents a new master hand which can be attached to a human hand and measures motion of the human fingertips and contact force acting on the fingertips. Our purpose in developing the master hand is to clarify the strategy of a human hand grasp, which is subjected to the same physical constraints as those of a robot hand, and use the obtained information to develop a grasping algorithm of robot hands. Concepts of the development, mechanism and features of the master hand are described.

[1]  Toru Omata,et al.  Acquisition of an Object Model by Manipulation with a Multifingered Hand , 1998 .

[2]  Katsushi Ikeuchi,et al.  Toward an assembly plan from observation. I. Task recognition with polyhedral objects , 1994, IEEE Trans. Robotics Autom..

[3]  Hideki Hashimoto,et al.  Intelligent cooperative manipulation system using dynamic force simulator , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[4]  Toru Omata,et al.  Acquisition of an object model by manipulation with a multifingered hand , 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.

[5]  Fuminori Saito,et al.  Interpretation of grasp and manipulation based on grasping surfaces , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[6]  Robert Rohling,et al.  Modeling and parameter estimation of the human index finger , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[7]  F. Saito,et al.  Toward telemanipulation via 2-D interface-concept and first result of "Titi" , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

[8]  Antonio Bicchi,et al.  Intrinsic contact sensing for soft fingers , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[9]  Oussama Khatib,et al.  Sensor fusion and object localization , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[10]  Toru Omata,et al.  Development of a Fingertip-type 6D Force Sensor and Error Evaluation of Contact Point Sensing , 1996 .

[11]  Robert Rohling,et al.  Optimized fingertip mapping for teleoperation of dextrous robot hands , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.