Title :
Multiple-view multiple-scale navigation for micro-assembly
Author :
Shacklock, Andrew
Author_Institution :
Mechatronics Group, Singapore Inst. of Manufacturing Technol., Singapore
fDate :
26 April-1 May 2004
Abstract :
The problems of operator interaction in micro-assembly tasks are addressed. The solution is a visualisation and tracking system based on techniques from computer vision and robotics. The man-machine-interface leaves the operator free to concentrate on the task whilst the machine handles the problems of precision and scale. The benefits of this approach are increased productivity and precision. An example of an implementation is presented that concentrates on tracking and navigation from a perspective view. This illustrates principles of robustness in feature tracking, parameter estimation and model reconstruction. Estimation is then followed by bundle adjustment , which enforces a parameterisation consistent with a motion model. The mathematical framework reduces dependency on explicit calibration of system parameters, using the constraints between motion kinematics and multiple view geometry.
Keywords :
microassembling; parameter estimation; path planning; robot kinematics; robot vision; robotic assembly; robust control; tracking; user interfaces; computer vision; feature tracking; man-machine-interface; microassembly; model reconstruction; motion kinematics; multiple view geometry; multiple-view multiple-scale navigation; parameter estimation; robotic; tracking system; visualisation; Calibration; Computer vision; Kinematics; Motion estimation; Navigation; Parameter estimation; Productivity; Robot vision systems; Robustness; Visualization;
Conference_Titel :
Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8232-3
DOI :
10.1109/ROBOT.2004.1307264