A neuroscience-inspired, modality-driven pipeline with classical control, a vision-language-action model, and force-feedback RL performs pick-and-rotate on a real robot, but only 5 of 35 trials complete all steps.
Prompt, plan, perform: Llm-based humanoid control via quantized imitation learning
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Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience
A neuroscience-inspired, modality-driven pipeline with classical control, a vision-language-action model, and force-feedback RL performs pick-and-rotate on a real robot, but only 5 of 35 trials complete all steps.