RoboTALES uses hierarchical LLM subgoals and VLM reward feedback to keep video-model futures task-aligned, then trains robot policies that beat baselines on RoboCasa and LIBERO10 long-horizon tasks.
In: Advances in Neural Information Processing Systems (NeurIPS)
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RoboTALES: Learning Reasoning-Guided Robot Policies via Task-Aligned Simulated Futures
RoboTALES uses hierarchical LLM subgoals and VLM reward feedback to keep video-model futures task-aligned, then trains robot policies that beat baselines on RoboCasa and LIBERO10 long-horizon tasks.