Title :
Shape description and grasping for robot hand-eye coordination
Author :
Rao, Kashipati ; Medioni, Gerard ; Liu, Huan ; Bekey, George A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
The successful execution of grasping by a robot hand requires translation of visual information into control signals to the hand, which produce the desired spatial orientation and preshape for grasping an arbitrary object. An approach to this problem that is based on separation of the task into two modules is presented. A vision module is used to transform an image into a volumetric shape description using generalized cones. The data structure containing this geometric information becomes an input to the grasping module, which obtains a list of feasible grasping modes and a set of control signals for the robot hand. Features of both modules are discussed.<>
Keywords :
computer vision; data structures; robots; computer vision; data structure; generalized cones; grasping; robot hand-eye coordination; shape description; spatial orientation; volumetric shape description; Data structures; Grasping; Humans; Intelligent robots; Machine vision; Robot kinematics; Robot sensing systems; Robot vision systems; Robotics and automation; Shape control;
Journal_Title :
Control Systems Magazine, IEEE
