Chaoran Zhu

I'm currently a PhD student in the Centre for Intelligent Sensing within the School of Electronic Engineering and Computer Science at Queen Mary, University of London, supervised by Dr. Changjae Oh and Prof. Andrea Cavallaro. I joined this Ph.D. program after completing my undergraduate studies through the Joint Programme between Queen Mary University of London and Beijing University of Posts and Telecommunications (BUPT).

Email / CV / Google Scholar / Github

Current Research (Ph.D.)

My research interests lie in embodied AI, robotics, and computer vision. I am currently working on multi-modal foundation models for generalizable robotic manipulation.

	LaVA-Man: Learning Visual Action Representations for Robot Manipulation Chaoran Zhu, Hengyi Wang, Yik Lung Pang, Changjae Oh Conference on Robot Learning (CoRL) , 2025 arXiv self-supervised VLMs pre-training for robot manipulation
	DiffPort: Adapting Pre-trained Diffusion Models for Generalizable Robot Manipulation Chaoran Zhu, Junyoung Seo, Aliyasin El Ayouch, Emmanuel Senft, Seungryong Kim, Changjae Oh, Under Review arXiv / website
	Improving Generalization of Language-Conditioned Robot Manipulation Chenglin Cui, Chaoran Zhu, Changjae Oh, Andrea Cavallaro Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS) , 2025 arXiv / website / code / bibtex Learning object-arrangement tasks with just a few-shot demonstrations.

Early Research (Undergraduate)

	Improving Generalization of Deep Networks for Estimating Physical Properties of Containers and Fillings Hengyi Wang, Chaoran Zhu, Ziyin Ma, Changjae Oh, ICASSP, Grand Challenge: Audio-Visual Object Classification For Human-Robot Collaboration, Rank 1^st, 2022 arXiv / code
	Energy-based periodicity mining with deep features for action repetition counting in unconstrained videos Jianqin Yin, Yanchun Wu, Chaoran Zhu, Zijin Yin, Huaping Liu, Yonghao Dang, Zhiyi Liu, Jun Liu IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) , 2021 paper

Special thank you to the source code.