dc.contributor.advisor | Rodney A. Brooks. | en_US |
dc.contributor.author | Adams, Bryan (Bryan Paul), 1977- | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
dc.date.accessioned | 2005-08-23T16:26:38Z | |
dc.date.available | 2005-08-23T16:26:38Z | |
dc.date.copyright | 2000 | en_US |
dc.date.issued | 2000 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/8929 | |
dc.description | Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000. | en_US |
dc.description | Includes bibliographical references (p. 54-55). | en_US |
dc.description.abstract | Humanoid 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.statementofresponsibility | by Bryan Adams. | en_US |
dc.format.extent | 55 p. | en_US |
dc.format.extent | 5777629 bytes | |
dc.format.extent | 5777389 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | M.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.uri | http://dspace.mit.edu/handle/1721.1/7582 | |
dc.subject | Electrical Engineering and Computer Science. | en_US |
dc.title | Meso : a virtual musculature for humanoid motor control | en_US |
dc.type | Thesis | en_US |
dc.description.degree | M.Eng. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
dc.identifier.oclc | 48981589 | en_US |