Title :
Visually estimating workpiece pose in a robot hand using the feature points method
Author :
Birk, J. ; Kelley, Richard ; Chen, N.
Author_Institution :
University of Rhode Island, Kingston, RI
Abstract :
An automatic method of visually estimating the pose of a workpiece in a robot hand has been developed. This method is not subject to the constraint that the workpiece have one of a finite number of states in the robot hand. Workpiece pose is estimated using the three dimensional locations of workpiece feature points. Workpiece features can be located in space by image feature tracking during a known arm motion and by using trigonometric relations. The correspondence to features on a model of the workpiece can be established by using transformations which verify interfeature distances and angles. The ability to estimate workpiece pose is necessary to enable robots to accomplish many industrial tasks.
Keywords :
Computer vision; Displacement measurement; Gain measurement; Machine vision; Robotics and automation; Rotation measurement; Service robots; Shape measurement; State estimation; Tracking;
Conference_Titel :
Decision and Control including the 17th Symposium on Adaptive Processes, 1978 IEEE Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/CDC.1978.268149