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HEFT enables full-size humanoids to perform complex movements with heavy payloads, overcoming significant challenges in motion tracking and stability.
Forget expensive real-world robot training: Hi-WM lets humans directly edit a robot's simulated reality, turning world models into powerful, reusable playgrounds for failure recovery.
LLM agents get stuck in error feedback loops, but ProCeedRL's process-level critic and reflection-based demonstrations can actively break these cycles and substantially improve exploration.
