Accession Number : ADA289866
Title : Vision-Based Planning and Execution of Precision Grasps.
Descriptive Note : Technical rept.,
Corporate Author : ROCHESTER UNIV NY DEPT OF COMPUTER SCIENCE
Personal Author(s) : Fuentes, Olac ; Marengoni, Hilcea F. ; Nelson, Randal C.
PDF Url : ADA289866
Report Date : DEC 1994
Pagination or Media Count : 25
Abstract : In this paper we present a system for vision-based planning and execution of fingertip grasps using a four-fingered dextrous hand. Our system does not rely on prior models of the objects to be grasped; it obtains all the information it needs from vision and from tactile sensors located at the fingertips of the hand. The grasp planner is based on a genetic algorithm modified to allow the use of real numbers as the basic representation unit. The grasp executer is based on differential visual feedback, which allows the system to specify goals and monitor progress in image space without needing absolute calibration between the camera and the hand. We present experimental results showing the application of the system to grasping unknown objects with the Utah/MIT hand. (AN)
Descriptors : *IMAGE PROCESSING, *ROBOTICS, ALGORITHMS, EXPERIMENTAL DATA, ROBOTS, PROBLEM SOLVING, THREE DIMENSIONAL, FEEDBACK, PRECISION, HEURISTIC METHODS, ARTIFICIAL INTELLIGENCE, SYSTEMS ANALYSIS, CALIBRATION, COMPUTER VISION, MANIPULATORS, ERROR CORRECTION CODES, VISUAL TARGETS, TOUCH, EXECUTIVE ROUTINES, REAL NUMBERS.
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE