Energy-Economical Heuristically Based Control of Compass Gait Walking on Stochastically Varying Terrain


Autoria(s): Hubicki, Christian
Data(s)

01/01/2011

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