VLA drops to 0/10 in a new lab; code-based adaptation restores 10/10 across both
sherryyangML · x · 2026-09-19
The WetRobo team tested cross-lab generalization under changed physical setups: a VLA policy trained on demonstrations from Lab X scored 10/10 in Lab X but 0/10 in Lab Y.
After on-site adaptation, the coding-agent system achieved 10/10 in both labs — same task, different lab setup. The result suggests code-level adaptation can fix the cross-environment transfer failure that plagues VLA policies.
Related event: WetRobo: Coding Agents Run Wet-Lab Experiments with Robot Arms(7 posts)→
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