EXIMO Efficient VLA Policy Finetuning via VLM Guidance

EXIMO enables efficient finetuning of large Vision-Language-Action (VLA) models for new robotic tasks. The method uses VLM-guided exploration to reduce the heavy teleoperation and reinforcement learning sample requirements typically needed for robotic manipulation.