Mag-VLA uses a LoRA-adapted Qwen2.5-VL-7B with a phase classifier and ACT decoder on a new teleoperated dataset to reach 90% approach and 50-80% transport success in bimanual magnetic microrobot tasks.
Context-aware adaptive shared control for magnetically-driven bimanual dexterous micromanipulation,
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Mag-VLA: Vision-Language-Action Model for Bimanual Magnetically Actuated Microrobot Manipulation
Mag-VLA uses a LoRA-adapted Qwen2.5-VL-7B with a phase classifier and ACT decoder on a new teleoperated dataset to reach 90% approach and 50-80% transport success in bimanual magnetic microrobot tasks.