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Incorporating supervisory human inputs into autonomous robot navigation

Abstract With robots being used extensively in various areas, a certain degree of robot autonomy has always been found desirable. In applications like planetary exploration, autonomous path planning and navigation are considered essential. But every now and then, a need to modify the robot's operation arises, a need for a human to provide it some supervisory parameters that modify the degree of autonomy or allocate extra tasks to the robot. In this regard, this thesis presents an approach to include a provision to accept and incorporate such human inputs and modify the navigation functions of the robot accordingly. Concepts such as applying kinematical constraints while planning paths, traversing of unknown areas with an intent of maximizing fie... (more)
Created Date 2013
Contributor Vemprala, Sai Hemachandra (Author) / Saripalli, Srikanth (Advisor) / Fainekos, Georgios (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Subject Robotics / Hybrid autonomy / Path planning / Robotics
Type Masters Thesis
Extent 44 pages
Language English
Reuse Permissions All Rights Reserved
Note M.S. Electrical Engineering 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis