Zachary Patterson

This work examines the trade-off between explicitly incorporating compliance through series-elastic actuation and using so-called proprioceptive, low-gear-ratio transmissions, and explores how these mechanisms interact with control policies during locomotion.

SPARK outperforms traditional code-generation agents by more than doubling their success rates, showcasing a new paradigm in robotic manipulation that prioritizes perception over costly re-querying.