Title :
Shape recognition and grasping by robotic hands with soft fingers and omnidirectional camera
Author :
Yoshikawa, Tsuneo ; Koeda, Masanao ; Fujimoto, Hiroshi
Author_Institution :
Dept. of Human & Comput. Intell., Ritsumeikan Univ., Shiga
Abstract :
The purpose of this paper is to establish a method of shape recognition and grasping of unknown objects using a robotic hand with two soft fingers and one omnidirectional camera. For shape recognition, we propose to use a simple 2D version of the visual volume intersection method which takes advantage of a special feature of the omnidiretional camera attached to the hand. For grasping we propose a simple grasp quality criterion to obtain the best grasping position for the two soft fingers based on a visual hull in a horizontal grasp plane. We conducted several experiments and the results show the validity of the proposed method.
Keywords :
cameras; dexterous manipulators; image recognition; position control; robot vision; grasping position; omnidirectional camera; robotic hand; shape recognition; soft fingers; visual volume intersection; AC motors; Cameras; Fingers; Grasping; Image recognition; Robot sensing systems; Robot vision systems; Robotics and automation; Servomotors; Shape;
Conference_Titel :
Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
Conference_Location :
Pasadena, CA
Print_ISBN :
978-1-4244-1646-2
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2008.4543224