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16.412J / 6.834J Cognitive Robotics, Spring 2004

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dc.contributor.author Williams, Brian C.
dc.contributor.author Roy, Nicholas
dc.coverage.temporal Spring 2004
dc.date.accessioned 2007-03-14T07:34:44Z
dc.date.available 2007-03-14T07:34:44Z
dc.date.issued 2004-06
dc.identifier 16.412J-Spring2004
dc.identifier.other 16.412J
dc.identifier.other 6.834J
dc.identifier.other IMSCP-MD5-761a00f3ce46b703063fb11b666b9f6f
dc.identifier.uri http://hdl.handle.net/1721.1/36832
dc.description.abstract Algorithms and paradigms for developing embedded systems that are able to operate autonomously for years at a time within harsh and uncertain environments. Focus on systems that demonstrate high levels of deduction and adaptation. Draws upon a diverse set of computational methods from artificial intelligence, operations research, software engineering, and control. Topics include: real-time deduction and search, automated planning, scheduling and execution, model-based diagnosis and failure recovery, reactive planning, hybrid systems, and agent architectures. en
dc.language.iso en-US
dc.rights This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. en
dc.subject cognitive robotics en
dc.subject robotic systems en
dc.subject intelligence algorithms en
dc.subject robustness algorithms en
dc.subject intelligence paradigms en
dc.subject robustness paradigms en
dc.subject autonomous robots en
dc.subject mars explorers en
dc.subject cooperative air vehicles en
dc.subject embedded devices en
dc.subject real-time deduction en
dc.subject real-time search en
dc.subject temporal planning en
dc.subject decision-theoretic planning en
dc.subject contingency planning en
dc.subject dynamic execution en
dc.subject dynamics re-planning en
dc.subject reasoning en
dc.subject path planning en
dc.subject reasoning under uncertainty en
dc.subject mapping en
dc.subject localization en
dc.subject cooperative robotics en
dc.subject distributed robotics en
dc.subject mars exploration rover en
dc.subject nursebot en
dc.subject museum tourguide en
dc.subject human-interaction systems en
dc.subject navigation en
dc.subject state-aware robots en
dc.subject fast planning en
dc.subject cooperative planning en
dc.subject vision-based exploration en
dc.subject preplanning en
dc.subject 16.412J en
dc.subject 6.834J en
dc.subject 16.412 en
dc.subject 6.834 en
dc.title 16.412J / 6.834J Cognitive Robotics, Spring 2004 en
dc.title.alternative Cognitive Robotics en
dc.audience.educationlevel Graduate
dc.subject.cip 110102 en
dc.subject.cip Artificial Intelligence and Robotics en


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