2 papers
cs.RO2026
Embedding Classical Balance Control Principles in Reinforcement Learning for Humanoid Recovery
Nehar Poddar, Stephen McCrory, Luigi Penco +3
Humanoid robots remain vulnerable to falls and unrecoverable failure states, limiting their practical utility in unstructured environments. While reinforcement learning has demonst…
cs.RO2024
A Behavior Architecture for Fast Humanoid Robot Door Traversals
Duncan Calvert, Luigi Penco, Dexton Anderson +6
Towards the role of humanoid robots as squad mates in urban operations and other domains, we identified doors as a major area lacking capability development. In this paper, we focu…