#Tsinghua AIR (4)

RoboChemist: Fully Autonomous Wet-Lab Chemistry Robot

@LeoKharon · 190 views · 2026-08-30

Zetta ζ: Closed-Loop Self-Evolution for a Frozen VLA Policy

Tsinghua AIR and Z-Trans AI present Zetta ζ, a closed-loop embodied harness that improves a frozen VLA policy without a single gradient update. Instead of fine-tuning, it evolves the execution harness around the policy: code-based runtime critics watch every action, recovery skills take over on deviation, and a validation gate admits only skills that generalize. The frozen baseline scores 31.0% on LIBERO-Pro; the same policy under Zetta ζ reaches 92.5% (+56.3 absolute points), with a +20-point gain to 93.6% across 18 RoboCasa tasks. Z-Infra scales valid rollout throughput 20.6× and speeds inference 11.1×. Skills transfer zero-shot, and clear robotic "aha moments" emerge.

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Embodied AIVLASelf-EvolutionLIBERO-ProRoboCasa

Zetta ζ: An Efficient Closed-Loop Embodied Harness for Self-Evolving Physical Intelligence

Zetta is a closed-loop embodied harness that keeps the base VLA frozen and evolves code-based runtime critics and recovery skills through three timescale-separated loops: action-frequency governance, rollout-batch failure diagnosis, and validation-gated skill updates. With the Z-Infra rollout infrastructure (20.6x throughput), it reaches 90.8% on LIBERO-Pro and 93.6% on RoboCasa, with zero-shot skill transfer and robotic Aha moments.

Xin Ding, Liang Mi, Mingzhe HuangAug 17, 2026

Embodied AIVLAAgentic HarnessAug 17, 2026

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Zetta ζ: Closed-Loop Recovery Harness on Frozen VLA Policies

@techniahqrobot · 271 views · 2026-08-30

ZettaVLALIBERO