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Multi-agent systems / Robotics / Robot / Agent-based model / Science / Artificial intelligence / Ethology / Buckminster Fuller / Tensegrity / Tensile architecture


Learning to Control Complex Tensegrity Robots (Extended Abstract) Atil Iscen Adrian Agogino
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Document Date: 2013-06-23 23:45:12

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File Size: 694,02 KB

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Company

Multiagent Systems / Intelligent Autonomous Systems / USA SGT Inc. / /

Country

United States / /

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IndustryTerm

control algorithms / coevolutionary algorithms / evolutionary algorithms / search space / learning systems / learning algorithm / /

Organization

National Aeronautics and Space Administration / International Foundation for Autonomous Agents / Oregon State University / USA UC / /

Person

Adrian Agogino / /

Position

candidate for tensegrity control / General / controller / /

ProvinceOrState

Minnesota / California / /

Technology

learning algorithm / simulation / artificial intelligence / Terms Algorithms / engineering control algorithms / /

URL

www.ifaamas.org / /

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