SHAPER Framework for Train-Free Embodied Agent Adaptation

SHAPER enables self-evolving embodied agents by evolving reusable skills and context-code harnesses through target-environment rollouts. This approach keeps model parameters frozen, allowing for train-free adaptation to new environments without requiring new supervised fine-tuning or RL data.