Title:
A Human-Robot Mentor-Protégé Relationship to Learn Off-Road Navigation Behavior
A Human-Robot Mentor-Protégé Relationship to Learn Off-Road Navigation Behavior
dc.contributor.author | Howard, Ayanna M. | en_US |
dc.contributor.author | Werger, Barry | en_US |
dc.contributor.author | Seraji, Homayoun | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. Human-Automation Systems Lab | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. School of Electrical and Computer Engineering | en_US |
dc.contributor.corporatename | Jet Propulsion Laboratory (U.S.) | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. Center for Robotics and Intelligent Machines | en_US |
dc.date.accessioned | 2011-03-28T17:47:49Z | |
dc.date.available | 2011-03-28T17:47:49Z | |
dc.date.issued | 2005-10 | |
dc.description | ©2005 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. | en_US |
dc.description | Presented at the 2005 IEEE International Conference on Systems, Man and Cybernetics, 10-12 Oct. 2005, Waikoloa, Hawaii. | en_US |
dc.description | DOI: 10.1109/ICSMC.2005.1571184 | en_US |
dc.description.abstract | In this paper, we present an approach to transfer human expertise for learning off-road navigation behavior to an autonomous mobile robot. The methodology uses the concept of humanized intelligence to combine principal component analysis and neural network learning to embed human driving expertise onto mobile robots. The algorithms are tested in the field using a commercial Pioneer 2AT robot to demonstrate autonomous traversal over rough natural terrain. | en_US |
dc.identifier.citation | A. Howard, B. Werger, H. Seraji, "A human-robot mentor-protégé relationship to learn off-road navigation behavior," IEEE International Conference on Systems, Man, and Cybernetics, Waikoloa, Hawaii, Oct. 2005, 430-435. | en_US |
dc.identifier.doi | 10.1109/ICSMC.2005.1571184 | |
dc.identifier.isbn | 0-7803-9298-1 | |
dc.identifier.uri | http://hdl.handle.net/1853/38303 | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.publisher.original | Institute of Electrical and Electronics Engineers | en_US |
dc.subject | Human-robot interaction | en_US |
dc.subject | Humanized intelligence | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Robot navigation | en_US |
dc.title | A Human-Robot Mentor-Protégé Relationship to Learn Off-Road Navigation Behavior | en_US |
dc.type | Text | |
dc.type.genre | Proceedings | |
dspace.entity.type | Publication | |
local.contributor.author | Howard, Ayanna M. | |
local.contributor.corporatename | School of Civil and Environmental Engineering | |
local.contributor.corporatename | Institute for Robotics and Intelligent Machines (IRIM) | |
relation.isAuthorOfPublication | 6d77e175-105c-4b0b-9548-31f20e60e20a | |
relation.isOrgUnitOfPublication | 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c | |
relation.isOrgUnitOfPublication | 66259949-abfd-45c2-9dcc-5a6f2c013bcf |
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