An intelligent controller for robot contact and non-contact task control

An architecture for intelligent control of a robot that interacts with a dynamically changing environment is proposed. The problems that are encountered in the implementations of low-level controllers for such robotics applications and their inherent limitations are outlined. An intelligent monitor is proposed to overcome these problems. Since this intelligent interface can change the desired trajectory and thereby affect the stability of the low-level controller, a stability analysis of the integrated controller and the interface is provided. This conceptual architecture is an attempt to emulate humans in employing common-sense reasoning in dynamic decision making and control. It is strongly believed that this approach will enable the controller to generate control actions in a more 'humanlike' manner than the current implementations of learning control.<<ETX>>

[1]  H. Hemami,et al.  Modeling and control of constrained dynamic systems with application to biped locomotion in the frontal plane , 1979 .

[2]  Kenneth D. Forbus Qualitative Process Theory , 1984, Artif. Intell..

[3]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

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

[5]  H. Harry Asada,et al.  Skill acquisition from human experts through pattern processing of teaching data , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[6]  John J. Craig,et al.  Hybrid position/force control of manipulators , 1981 .

[7]  Andrew A. Goldenberg,et al.  An approach to force and position control of robot manipulators , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[8]  Thomas B. Sheridan,et al.  Robust compliant motion for manipulators, part I: The fundamental concepts of compliant motion , 1986, IEEE J. Robotics Autom..

[9]  Johan de Kleer,et al.  A Qualitative Physics Based on Confluences , 1984, Artif. Intell..

[10]  J. De Schutter,et al.  Tracking in compliant robot motion: automatic generation of the task frame trajectory based on observation of the natural constraints , 1988 .

[11]  H. Harry Asada,et al.  The direct teaching of tool manipulation skills via the impedance identification of human motions , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[12]  Andrew A. Goldenberg,et al.  Position and force control approach to automatic deburring by a robot manipulator , 1989, Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics.

[13]  N. H. McClamroch,et al.  Feedback stabilization and tracking of constrained robots , 1988 .

[14]  Andrew A. Goldenberg,et al.  Force and position control of manipulators during constrained motion tasks , 1989, IEEE Trans. Robotics Autom..

[15]  Hideo Hanafusa,et al.  Playback Control of Force Teachable Robots , 1979 .

[16]  Tsuneo Yoshikawa,et al.  Dynamic hybrid position/force control of robot manipulators--Description of hand constraints and calculation of joint driving force , 1986, IEEE Journal on Robotics and Automation.

[17]  Benjamin J. Kaipers,et al.  Qualitative Simulation , 1989, Artif. Intell..