Learning impedance control for physical robot–environment interaction

In this article, learning impedance control is proposed for physical robot–environment interaction. Learning mechanism is developed such that the knowledge of the robot structure is not required. With the developed method, the dynamics of the robot arm is governed to follow a target impedance model and the interaction control objective is achieved. The control performance is discussed through the rigorous analysis. The validity of the proposed method is verified by simulation studies.

[1]  Shuzhi Sam Ge,et al.  Adaptive Repetitive Control for a Class of Nonlinearly Parametrized Systems , 2006, IEEE Transactions on Automatic Control.

[2]  Kazuhiro Kosuge,et al.  Transporting an Object by a Passive Mobile Robot with Servo Brakes in Cooperation with a Human , 2009, Adv. Robotics.

[3]  John T. Wen,et al.  Stability analysis of position and force control for robot arms , 1991 .

[4]  Shuzhi Sam Ge,et al.  Learning compliance control of robot manipulators in contact with the unknown environment , 2010, 2010 IEEE International Conference on Automation Science and Engineering.

[5]  Shuzhi Sam Ge,et al.  Neural Network Adaptive Impedance Control of Constrained Robots , 2004, Int. J. Robotics Autom..

[6]  J. Slotine,et al.  On the Adaptive Control of Robot Manipulators , 1987 .

[7]  Zlatko M. Soitrov,et al.  A model reference approach to adaptive impedance control of robot manipulators , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).

[8]  Neville Hogan,et al.  Impedance Control: An Approach to Manipulation: Part I—Theory , 1985 .

[9]  Shaocheng Tong,et al.  Fuzzy direct adaptive control for a class of nonlinear systems , 1999, Fuzzy Sets Syst..

[10]  Danwei Wang,et al.  Learning impedance control for robotic manipulators , 1998, IEEE Trans. Robotics Autom..

[11]  J. S. Lee,et al.  An adaptive learning control of uncertain robotic systems , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[12]  H. Seraji.  Adaptive control of robotic manipulators , 1987, 26th IEEE Conference on Decision and Control.

[13]  Kazuhiro Kosuge,et al.  Manipulation of a large object by multiple DR Helpers in cooperation with a human , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[14]  Kazuhiro Kosuge,et al.  Mobile robot helper , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[15]  Shuzhi Sam Ge,et al.  Neural network based adaptive impedance control of constrained robots , 2002, Proceedings of the IEEE Internatinal Symposium on Intelligent Control.

[16]  W. S. Newman.  Stability and Performance Limits of Interaction Controllers , 1992 .

[17]  Stephen Paul Buerger,et al.  Stable, high-force, low-impedance robotic actuators for human-interactive machines , 2005 .

[18]  Richard Volpe,et al.  A theoretical and experimental investigation of explicit force control strategies for manipulators , 1993, IEEE Trans. Autom. Control..

[19]  Kazuhiro Kosuge,et al.  Variable motion characteristics control of an object by multiple passive mobile robots in cooperation with a human , 2008, 2008 IEEE International Conference on Robotics and Automation.

[20]  Kazuhiro Kosuge,et al.  Control of passive object handling robot with free joint for reducing human assistive force , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[21]  J. Edward Colgate,et al.  Motion Guides for Assisted Manipulation , 2002, Int. J. Robotics Res..

[22]  Homayoun Seraji,et al.  Direct adaptive impedance control of manipulators , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[23]  Danwei Wang,et al.  An Iterative Learning- Control Scheme for Impedance Control of Robotic Manipulators , 1998, Int. J. Robotics Res..

[24]  Zhihua Qu,et al.  Robust learning control for robotic manipulators with an extension to a class of non-linear systems , 2000 .

[25]  Kevin Wedeward,et al.  New stability results for direct adaptive impedance control , 1995, Proceedings of Tenth International Symposium on Intelligent Control.

[26]  Neville Hogan,et al.  Robust control of dynamically interacting systems , 1988 .

[27]  Shuzhi Sam Ge,et al.  Adaptive Neural Network Control of Robotic Manipulators , 1999, World Scientific Series in Robotics and Intelligent Systems.

[28]  Zhihua Qu,et al.  Comments on 'Impedance control with adaptation for robotic manipulations' , 1991, IEEE Trans. Robotics Autom..

[29]  Max Q.-H. Meng,et al.  Impedance control with adaptation for robotic manipulations , 1991, IEEE Trans. Robotics Autom..

[30]  Shuzhi Sam Ge,et al.  Position/force control of uncertain constrained flexible joint robots , 2006 .

[31]  Michael A. Peshkin,et al.  A general framework for cobot control , 2001, IEEE Trans. Robotics Autom..

[32]  Shuzhi Sam Ge,et al.  Fuzzy unidirectional force control of constrained robotic manipulators , 2003, Fuzzy Sets Syst..

[33]  Xiao-gang Jia,et al.  Adaptive iterative learning control for robot manipulators , 2010, 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[34]  Dale A. Lawrence,et al.  Impedance control stability properties in common implementations , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.