524 citations · 971 across the 13 of their papers we have counts for
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cs.RO2022★ 3 cited
Midas: A Multi-Joint Robotics Simulator with Intersection-Free Frictional Contact
Yunuo Chen, Minchen Li, Wenlong Lu +2
We introduce Midas, a robotics simulation framework based on the Incremental Potential Contact (IPC) model. Our simulator guarantees intersection-free, stable, and accurate resolut…
cs.LG2022★ 17 cited
Jump-Start Reinforcement Learning
Ikechukwu Uchendu, Ted Xiao, Yao Lu +9
Reinforcement learning (RL) provides a theoretical framework for continuously improving an agent's behavior via trial and error. However, efficiently learning policies from scratch…
cs.RO2022★ 524 cited
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Michael Ahn, Anthony Brohan, Noah Brown +42
Large language models can encode a wealth of semantic knowledge about the world. Such knowledge could be extremely useful to robots aiming to act upon high-level, temporally extend…