An Approach to Telerobotic Manipulations

This article introduces three areas of study : 1 telefunctioning; 2 a control method for producing telefunctioning ; and 3 an analysis of human-robot interaction when telefunctioning governs the system behavior. Telefunctioning facilitates the maneuvering of loads by creating a perpetual sense of the load dynamics for the operator. Telefunctioning is defined as a robotic manipulation method in which the dynamic behaviors of the slave robot and the master robot are functions of each other; these junctions are the designer's choice and depend on the application. (In a subclass of telefunctioning currently referred to as telepresence, these functions are specified as unity so that the master and slave variables (e.g., position, velocity) are dynamically equal.) To produce telefunctioning, this work determines a minimum number of functions relating the robots' variables, and then develops a control architecture which guarantees that the defined functions govern the dynamic behavior of the closed-loop system. The stability of the closed-loop system (i.e., master robot, slave robot, human, and the load being manipulated) is analyzed and sufficient conditions for stability are derived.

[1]  Homayoon Kazerooni,et al.  Human-robot interaction via the transfer of power and information signals , 1990, IEEE Trans. Syst. Man Cybern..

[2]  M. Athans,et al.  Robustness results in linear-quadratic Gaussian based multivariable control designs , 1981 .

[3]  Sukhan Lee,et al.  Computer control of space-borne teleoperators with sensory feedback , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[4]  Blake Hannaford,et al.  A design framework for teleoperators with kinesthetic feedback , 1989, IEEE Trans. Robotics Autom..

[5]  Jean-Jacques E. Slotine,et al.  The Robust Control of Robot Manipulators , 1985 .

[6]  In Ha,et al.  Robust tracking in nonlinear systems and its applications to robotics , 1985, 1985 24th IEEE Conference on Decision and Control.

[7]  A. K. Bejczy,et al.  Experimental results with a six-degree-of-freedom force-reflecting hand controller , 1981 .

[8]  Mark W. Spong,et al.  Asymptotic Stability for Force Reflecting Teleoperators with Time Delay , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[9]  D.W. Repperger,et al.  Discriminant analysis of changes in human muscle function when interacting with an assistive aid , 1988, IEEE Transactions on Biomedical Engineering.

[10]  Homayoon Kazerooni On the Robot Compliant Motion Control , 1989 .

[11]  P. Rabischong Robotics for the Handicapped , 1982 .

[12]  Dean Karnopp,et al.  Introduction to physical system dynamics , 1983 .

[13]  Matthew T. Mason,et al.  Compliance and Force Control for Computer Controlled Manipulators , 1981, IEEE Transactions on Systems, Man, and Cybernetics.

[14]  M. Vidyasagar,et al.  Roboust nonlinear control of robot manipulators , 1985, 1985 24th IEEE Conference on Decision and Control.

[15]  Homayoon Kazerooni,et al.  Case Study on Haptic Devices: Human-Induced Instability in Powered Hand Controllers , 1995 .

[16]  George C. Verghese,et al.  Design issues in 2-port network models of bilateral remote manipulation , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[17]  Richard B. Stein,et al.  What muscle variable(s) does the nervous system control in limb movements? , 1982, Behavioral and Brain Sciences.