An agentic framework using a GPT-4o planner, an OpenVLA executor, and a LoRA-fine-tuned Qwen2.5-VL verifier achieves 79.6% average success on LIBERO by decomposing and verifying subgoals.
Scar: Refining skill chaining for long-horizon robotic manipulation via dual regularization
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Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents
An agentic framework using a GPT-4o planner, an OpenVLA executor, and a LoRA-fine-tuned Qwen2.5-VL verifier achieves 79.6% average success on LIBERO by decomposing and verifying subgoals.