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Building an environment model using depth informationModeling the environment is one of the most crucial issues for the development and research of autonomous robot and tele-perception. Though the physical robot operates (navigates and performs various tasks) in the real world, any type of reasoning, such as situation assessment, planning or reasoning about action, is performed based on information in its internal world. Hence, the robot's intentional actions are inherently constrained by the models it has. These models may serve as interfaces between sensing modules and reasoning modules, or in the case of telerobots serve as interface between the human operator and the distant robot. A robot operating in a known restricted environment may have a priori knowledge of its whole possible work domain, which will be assimilated in its World Model. As the information in the World Model is relatively fixed, an Environment Model must be introduced to cope with the changes in the environment and to allow exploring entirely new domains. Introduced here is an algorithm that uses dense range data collected at various positions in the environment to refine and update or generate a 3-D volumetric model of an environment. The model, which is intended for autonomous robot navigation and tele-perception, consists of cubic voxels with the possible attributes: Void, Full, and Unknown. Experimental results from simulations of range data in synthetic environments are given. The quality of the results show great promise for dealing with noisy input data. The performance measures for the algorithm are defined, and quantitative results for noisy data and positional uncertainty are presented.
Document ID
19900019748
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Roth-Tabak, Y. (Michigan Univ. Ann Arbor, MI, United States)
Jain, Ramesh (Michigan Univ. Ann Arbor, MI, United States)
Date Acquired
September 6, 2013
Publication Date
January 31, 1989
Publication Information
Publication: JPL, California Inst. of Tech., Proceedings of the NASA Conference on Space Telerobotics, Volume 2
Subject Category
Cybernetics
Accession Number
90N29064
Funding Number(s)
CONTRACT_GRANT: JPL-958086
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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