Friction Compensation and Control Strategy for the Dexterous Robotic Hands

Friction in tendon based robot hands has been an unavoidable problem. With introduction of more dexterous and metamorphic hands this intrinsically non-linear and highly time-varying force has become an obstacle to achieve high performances and required accuracy which the robot designers are aiming for. This paper proposes a method to tackle the problem by measuring friction and applying it in a feed forward loop. The novelty of the method is in the possibility to perform the task automatically and on a regular basis to compensate the time varying phenomenon.

[1]  M. Indri,et al.  Friction Compensation in Robotics: an Overview , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[2]  Xia Wen,et al.  Telemanipulation Control Of A Robotic Hand With Cooperating Fingers By Means Of Telepresence With A Hybrid Virtual-real Structure , 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  J. Kenneth Salisbury,et al.  Articulated Hands , 1982 .

[4]  A. Kargov,et al.  Development of a Multifunctional Cosmetic Prosthetic Hand , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[5]  Jian S. Dai,et al.  Kinematic Analysis and Prototype of a Metamorphic Anthropomorphic Hand with a Reconfigurable Palm , 2011, Int. J. Humanoid Robotics.

[6]  Carlos Canudas de Wit,et al.  Friction Models and Friction Compensation , 1998, Eur. J. Control.

[7]  Hong Liu,et al.  A dexterous humanoid five-fingered robotic hand , 2008, RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication.

[8]  Carlos Canudas de Wit,et al.  A survey of models, analysis tools and compensation methods for the control of machines with friction , 1994, Autom..

[9]  Fredrik Rehnmark,et al.  Robonaut: NASA's Space Humanoid , 2000, IEEE Intell. Syst..

[10]  Bernard Friedland,et al.  On adaptive friction compensation , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[11]  Brian Armstrong-Hélouvry,et al.  Control of machines with friction , 1991, The Kluwer international series in engineering and computer science.