Li Zhongxuan

I am now a PhD Student in robotics at HKU CS. Meanwhile, I am a visiting student at Email Lab, Great Bay University. Previously, I obtained MEng (with Bachelor degree incorporated) from EEE, Imperial College London where I was mentored by Prof. Petar Kormushev and Prof. Wei Dai.

I have profound experience in the industry. During my study at HK, I have a close collaboration with TransGP under InnoHK fundizations. Prior to that, I worked for Huawei, focusing on optical network optimization/planning. I also did internship at Ocado Technology back in the UK.

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I hold a broad interest in a variety of topics in robotics. In particular, I work on robotics task understanding/planning. My ultimate goal is to develop robots that can learn, reason, interact and evolve in real-world settings. Besides my profession, I have a great fondness about history and philosophy. Some papers are highlighted.

We present UniBiDex, a unified teleoperation framework for robotic bimanual dexterous manipulation that supports both VR-based and leader–follower input modalities. The framework integrates heterogeneous input devices into a shared control stack with consistent kinematic treatment and safety guarantees, employing null-space control to optimize bimanual configurations for smooth, collision-free motion.

We propose a new topological latent control model for reactive human–robot collaborative manipulation of deformable linear objects. The method achieves real-time collaborative control and has been recognized as an ESI Highly Cited + Hot Paper.

Our paper was selected for Poster Spotlight at AIAAT 2025, highlighting our research on unified teleoperation framework for robotic bimanual dexterous manipulation.

Led by Prof. Jia Pan at HKU, our Omni-Mani team achieved first place in the deformable object manipulation challenge, demonstrating advanced robotics capabilities in cable management tasks.

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