Title :
A learning procedure for position and force control of constrained manipulators
Author :
Aicardi, M. ; Cannata, G. ; Casalino, G.
Author_Institution :
Dept. of Commun., Comput. & Syst. Sci., Genova Univ., Italy
Abstract :
The problem of controlling a manipulator constrained to move on a frictionless surface is dealt with in this paper. A desired end effector trajectory, lying on the surface, is given, together with a reference evolution for the contact force acting between the terminal device and the surface itself. The dynamic mathematical model of the robot is instead assumed unknown, together with the geometric characteristic of the surface surrounding the desired trajectory. The control signal allowing the execution of the task (i.e. the tracking of the desired trajectory with the specified contact force profile) is found by means of a trial contact and error procedure. The effectiveness of the learning method is shown by means of a fully nonlinear analysis.<>
Keywords :
force control; learning (artificial intelligence); nonlinear control systems; position control; robots; constrained manipulators; end effector trajectory; force control; frictionless surface; fully nonlinear analysis; learning procedure; position control; trajectory following; Convergence; End effectors; Error correction; Force control; Force measurement; Force sensors; Manipulators; Mathematical model; Motion control; Robots;
Conference_Titel :
Advanced Robotics, 1991. 'Robots in Unstructured Environments', 91 ICAR., Fifth International Conference on
Conference_Location :
Pisa, Italy
Print_ISBN :
0-7803-0078-5
DOI :
10.1109/ICAR.1991.240616
