Energy-Economical Heuristically Based Control of Compass Gait Walking on Stochastically Varying Terrain
Data(s) |
01/01/2011
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Resumo |
Investigation uses simulation to explore the inherent tradeoffs ofcontrolling high-speed and highly robust walking robots while minimizing energy consumption. Using a novel controller which optimizes robustness, energy economy, and speed of a simulated robot on rough terrain, the user can adjust their priorities between these three outcome measures and systematically generate a performance curveassessing the tradeoffs associated with these metrics. |
Formato |
application/pdf |
Identificador |
http://digitalcommons.bucknell.edu/masters_theses/26 http://digitalcommons.bucknell.edu/cgi/viewcontent.cgi?article=1025&context=masters_theses |
Publicador |
Bucknell Digital Commons |
Fonte |
Master’s Theses |
Palavras-Chave | #legged locomotion #control #optimization-inspired #heuristic #evolutionary algorithm #machine learning #Mechanical Engineering |
Tipo |
text |