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Zhiyuan Robotics Reshuffles Partner Ranks as Chief Scientist Drops Off the List

By CodeSheep ·
Read original on juejin.cn ↗ Google Translate ↗ Alt translation

The reshuffle shows a well-funded Chinese humanoid-robot startup hardening from an R&D outfit into a commercially structured company. For anyone tracking the embodied-AI race, the departure or sidelining of a top reinforcement-learning researcher signals where the near-term priorities — and tensions — may lie.

Summary

The new partner lineup adds three members and promotes two existing partners to co-founder and co-president roles. More than half of the nine partners are Huawei veterans, spanning R&D, operations, marketing, and HR — a configuration that reads less like a research lab and more like a commercial strike force.

The most scrutinized change is the disappearance of Dr. Luo Jianlan, who joined as Chief Scientist 16 months ago. Luo was a core member of Sergey Levine's lab at UC Berkeley and led development of the SERL/HIL-SERL reinforcement learning system, which achieved 100% task success rates on real robots. Zhiyuan's official response is that he has "not yet left" and is undergoing an internal role adjustment, but his new position remains undisclosed.

Luo's personal homepage and social media now list only his associate professorship at Shanghai Chuangzhi College, with no mention of Zhiyuan. The ambiguity — a denial that leaves room for a future departure — has fueled speculation about the state of the company's research leadership.

Takeaways
Zhiyuan Robotics expanded its core partner team from seven to nine members, adding Xiong Yan, Zhu Jie, and Zhang Xiuzheng.
Jiang Qingsong and Yao Maoqing were both promoted to co-founder, co-president, and executive director.
Six of the nine partners previously held senior roles at Huawei, covering R&D, operations, sales, and HR.
Chief Scientist Luo Jianlan, who joined 16 months ago, is no longer on the partner list; the company says he has "not yet left" and is undergoing an internal adjustment.
Luo's personal online profiles now show only his associate professor role at Shanghai Chuangzhi College, with all Zhiyuan titles removed.
Luo previously led the SERL/HIL-SERL project at UC Berkeley, the first real-robot RL system to reach 100% task success rates.
Conclusions

The phrase "not yet left" is a carefully hedged corporate denial that preserves the option of a future departure without triggering immediate market alarm.

Stacking the partner team with Huawei veterans across every function — not just engineering — suggests the company is prioritizing go-to-market execution and supply-chain muscle over pure research.

A chief scientist exiting the partner list while the company says he remains employed points to a demotion or reduced influence, which can be just as destabilizing for a research-heavy startup as an outright departure.

Concepts & terms
SERL/HIL-SERL
A real-robot reinforcement learning system developed at UC Berkeley that trains robots directly on physical hardware instead of in simulation. It was the first such system to reach 100% task success rates, bypassing the long-standing sim-to-real gap.
Source: juejin.cn ↗ Google Translate ↗ Backup ↗