Abstract:
In this paper we introduce a method to learn the global relationship between camera motion and its effect on a feature space. Drawing from progress in vision based motion...Show MoreMetadata
Abstract:
In this paper we introduce a method to learn the global relationship between camera motion and its effect on a feature space. Drawing from progress in vision based motion control, we derive an image-based method that learns an approximation of the visuomotor function while performing visual servoing tasks. The result is a reactive agent that measures its performance in the image feature space and controls a robot with position error commands. Thus combining image-based references with position-based commands.
Date of Conference: 18-22 April 2005
Date Added to IEEE Xplore: 10 January 2006
Print ISBN:0-7803-8914-X
Print ISSN: 1050-4729