22 May 2015 Data driven models of legged locomotion
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Abstract
Legged locomotion is a challenging regime both for experimental analysis and for robot design. From biology, we know that legged animals can perform spectacular feats which our machines can only surpass on some specially controlled surfaces such as roads. We present a concise review of the theoretical underpinnings of Data Driven Floquet Analysis (DDFA), an approach for empirical modeling of rhythmic dynamical systems. We provide a review of recent and classical results which justify its use in the analysis of legged systems.
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Shai Revzen, Shai Revzen, Matthew Kvalheim, Matthew Kvalheim, } "Data driven models of legged locomotion", Proc. SPIE 9467, Micro- and Nanotechnology Sensors, Systems, and Applications VII, 94671V (22 May 2015); doi: 10.1117/12.2178007; https://doi.org/10.1117/12.2178007
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