VLA-Pilot provides plug-and-play inference-time steering for pre-trained VLA policies via embodied evolutionary diffusion, raising success rates on six real-world manipulation tasks across two robot embodiments without fine-tuning.
Human–humanoid robots cross-embodiment behavior-skill transfer using decomposed adversarial learning from demonstration: Hotu, a human–humanoid robots skill trans- fer framework,
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Towards Deploying VLA without Fine-Tuning: Plug-and-Play Inference-Time VLA Policy Steering via Embodied Evolutionary Diffusion
VLA-Pilot provides plug-and-play inference-time steering for pre-trained VLA policies via embodied evolutionary diffusion, raising success rates on six real-world manipulation tasks across two robot embodiments without fine-tuning.