Crawling strategies and uncertainty handling
ORAL
Abstract
Strategies for locomotion are assorted in nature. Many crawlers use asymmetrical interactions with the substrate to transmit forces through gripping or friction. We present a simple lumped-parameter model, including the effects of inertia, muscle elasticity and interaction with the substrate in order to isolate key features of crawling strategies. Different muscle activation patterns are considered, as well as the role of Central Pattern Generators (CPG) and proprioception in locomotion. Finally, we study the impact of environmental noise and uncertainty on crawling efficacy and complexity of the control strategy.
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Presenters
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Juncal Arbelaiz
Applied Mathematics, MIT
Authors
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Juncal Arbelaiz
Applied Mathematics, MIT
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Anette Hosoi
Massachusetts Inst of Tech-MIT, Mechanical Engineering, MIT