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dc.contributor.advisorRodney A. Brooks.en_US
dc.contributor.authorAdams, Bryan (Bryan Paul), 1977-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2005-08-23T16:26:38Z
dc.date.available2005-08-23T16:26:38Z
dc.date.copyright2000en_US
dc.date.issued2000en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/8929
dc.descriptionThesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.en_US
dc.descriptionIncludes bibliographical references (p. 54-55).en_US
dc.description.abstractHumanoid behavior requires a system with access to humanoid variables. Our humanoid robot, Cog, has two arms that are structurally similar to those of humans; however, the sensory system only provides a sense of strain and position. This thesis describes a model of the human energy metabolism that is linked to the robot's behavior. As the robot uses its arms, the model incorporates the behavior to create a sense of tiredness, fatigue, soreness, or excitement in the robot, both locally at the joints and globally as a part of the overall system. The model also can limit the robot's exertion when appropriate according to the biological system.en_US
dc.description.statementofresponsibilityby Bryan Adams.en_US
dc.format.extent55 p.en_US
dc.format.extent5777629 bytes
dc.format.extent5777389 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleMeso : a virtual musculature for humanoid motor controlen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc48981589en_US


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