Title :
3-D automatic microassembly by vision-based control
Author :
Ren, Lu ; Wang, Lidai ; Mills, James K. ; Sun, Dong
Author_Institution :
Univ. of Toronto, Toronto
fDate :
Oct. 29 2007-Nov. 2 2007
Abstract :
In this paper, we propose a vision control strategy to perform automatic microassembly tasks in three- dimension (3-D), and develop relevant control software. Specifically, using a 6 degree-of-freedom (DOF) robotic workstation to control a passive microgripper to automatically grasp a designated micropart from the chip, pivot the micropart, and then move the micropart to vertically insert into a designated slot on the chip. In the proposed control strategy, the whole microassembly task is divided into two subtasks, micro-grasping and micro-joining, in sequence. To guarantee the success of microassembly and manipulation accuracy, two different two-stage feedback motion strategies, the pattern matching and auto-focus method are employed, with the use of vision-based control system and the vision control software developed. Experiments conducted demonstrate the efficiency and validity of the proposed control strategy.
Keywords :
control engineering computing; grippers; image matching; microassembling; micromanipulators; robot vision; robotic assembly; 3D automatic microassembly; control software; microassembly task; micrograsping; microjoining; passive microgripper; pattern matching; robotic workstation; two-stage feedback motion strategies; vision control strategy; vision-based control; Automatic control; Control systems; Feedback; Grippers; Microassembly; Motion control; Robot control; Robotics and automation; Software performance; Workstations; 3-D; Automatic Microassembly; Control; MEMS; Vision;
Conference_Titel :
Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-0912-9
Electronic_ISBN :
978-1-4244-0912-9
DOI :
10.1109/IROS.2007.4399103