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Direct reinforcement learning can master coupled whole-body locomotion and multi-fingered dexterous manipulation from human data without relying on teacher-student distillation or residual policy staging.
EvoPlan combines the flexibility of LLMs with the reliability of classical planning, achieving superior performance in robot navigation while ensuring safety and execution guarantees.