ROBOTNESS
전문가CoRL피인용 210회샘플 브리프

Massively Parallel Sim-to-Real for Humanoid Locomotion

CMU Robotics InstituteCarnegie Mellon University
아직 한국어판이 없어 영어 원문으로 표시.
30초 요약

RL policies trained in GPU simulation transfer zero-shot to a commodity humanoid on rough terrain.

연구 질문

Does domain randomisation scale to full humanoids?

문제

Humanoid balance is brittle under sim/real gaps.

기존 접근

Model-based controllers with hand-tuned gains.

새 접근

Terrain curricula plus actuator-network modelling.

결과

Stairs, slopes and pushes on a Unitree platform.

한계

Locomotion only; no manipulation.

업계 영향

Lowers the barrier for low-cost humanoids to walk reliably, compressing hardware differentiation.