DocumentCode :
1539774
Title :
Automated Multiprobe Microassembly Using Vision Feedback
Author :
Wason, John D. ; Wen, John T. ; Gorman, Jason J. ; Dagalakis, Nicholas G.
Author_Institution :
Rensselaer Polytech. Inst., Troy, NY, USA
Volume :
28
Issue :
5
fYear :
2012
Firstpage :
1090
Lastpage :
1103
Abstract :
This paper describes the algorithm development and experimental results of a vision-guided multiprobe microassembly system. The key focus is to develop the capabilities required for the construction of 3-D structures using only planar microfabricated parts. Instead of using grippers, multiple sharp-tipped probes are coordinated to manipulate parts by using vision feedback. This novel probe-based approach offers both stable part grasping and dexterous part manipulation. The light weight of the part and relatively slow motion means that only kinematics-based control is required. However, probe motions need to be carefully coordinated to ensure reliable and repeatable part grasping and manipulation. Machine vision with multiple cameras is used to guide the motion. No contact force sensor is used; instead, vision sensing of the probe bending is used for the grasp force control. By combining preplanned manipulation sequences and vision-based manipulation, repeatable spatial (in contrast with planar) manipulation and insertion of a submillimeter part have been demonstrated with an experimental testbed consisting of two actuated probes, a passive probe, an actuated die stage, and two cameras for vision feedback.
Keywords :
dexterous manipulators; feedback; force control; manipulator kinematics; microassembling; robot vision; 3D structures; actuated die stage; actuated probes; automated multiprobe microassembly; dexterous part manipulation; grasp force control; kinematics-based control; multiple sharp-tipped probes; passive probe; planar microfabricated parts; probe bending; probe motions; repeatable spatial manipulation; vision feedback; vision sensing; Cameras; Force; Grasping; Grippers; Microassembly; Probes; Robots; Computer vision; dexterous manipulation; force and tactile sensing; grasping; micro/nano robots;
fLanguage :
English
Journal_Title :
Robotics, IEEE Transactions on
Publisher :
ieee
ISSN :
1552-3098
Type :
jour
DOI :
10.1109/TRO.2012.2200991
Filename :
6217342
Link To Document :
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