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16.412J / 6.834J Cognitive Robotics, Spring 2004

dc.contributor.authorWilliams, Brian C.en_US
dc.contributor.authorRoy, Nicholasen_US
dc.coverage.temporalSpring 2004en_US
dc.date.issued2004-06
dc.identifier16.412J-Spring2004
dc.identifierlocal: 16.412J
dc.identifierlocal: 6.834J
dc.identifierlocal: IMSCP-MD5-761a00f3ce46b703063fb11b666b9f6f
dc.identifier.urihttp://hdl.handle.net/1721.1/36832
dc.description.abstractAlgorithms 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_US
dc.languageen-USen_US
dc.rights.uriUsage Restrictions: 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_US
dc.subjectcognitive roboticsen_US
dc.subjectrobotic systemsen_US
dc.subjectintelligence algorithmsen_US
dc.subjectrobustness algorithmsen_US
dc.subjectintelligence paradigmsen_US
dc.subjectrobustness paradigmsen_US
dc.subjectautonomous robotsen_US
dc.subjectmars explorersen_US
dc.subjectcooperative air vehiclesen_US
dc.subjectembedded devicesen_US
dc.subjectreal-time deductionen_US
dc.subjectreal-time searchen_US
dc.subjecttemporal planningen_US
dc.subjectdecision-theoretic planningen_US
dc.subjectcontingency planningen_US
dc.subjectdynamic executionen_US
dc.subjectdynamics re-planningen_US
dc.subjectreasoningen_US
dc.subjectpath planningen_US
dc.subjectreasoning under uncertaintyen_US
dc.subjectmappingen_US
dc.subjectlocalizationen_US
dc.subjectcooperative roboticsen_US
dc.subjectdistributed roboticsen_US
dc.subjectmars exploration roveren_US
dc.subjectnurseboten_US
dc.subjectmuseum tourguideen_US
dc.subjecthuman-interaction systemsen_US
dc.subjectnavigationen_US
dc.subjectstate-aware robotsen_US
dc.subjectfast planningen_US
dc.subjectcooperative planningen_US
dc.subjectvision-based explorationen_US
dc.subjectpreplanningen_US
dc.subject16.412Jen_US
dc.subject6.834Jen_US
dc.subject16.412en_US
dc.subject6.834en_US
dc.title16.412J / 6.834J Cognitive Robotics, Spring 2004en_US
dc.title.alternativeCognitive Roboticsen_US
dc.typeLearning Object
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science


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