Chengyang Zhao

I am a second-year master student (MS in Robotics) at Robotics Institute, Carnegie Mellon University, advised by Prof. Jean Oh. Previously, I obtained my bachelor's degree from Yuanpei College 🦁, Peking University, majoring in Data Science (Computer Science + Statistics). During my undergraduate years, I was honored to be advised by Prof. He Wang. I was also previleged to work closely with Prof. Chuang Gan.

I am always happy to chat and explore opportunities for collaboration. Feel free to reach out to me!

I am seeking PhD positions starting in Fall 2026. If you have any suggestions or opportunities, please let me know!

Email / CV (Oct. 2025) / Google Scholar / LinkedIn / Github / X (Twitter)

Research

My research lies in the intersection of robotics and machine learning, with a focus on robot manipulation.

My current research highlights the following perspectives:

Structured modeling for effective and generalizable manipulation.
Structured understanding from weakly-supervised multi-modal learning.
Robust real-world deployment and efficient learning through advanced simulation.

Core research questions I am exploring:

How can we develop structured priors for effective, efficient, scalable robot learning systems by leveraging insights from dynamics, geometry, physics, etc.?
How can these learning systems ultimately enable robots that reliably interact with the unstructured real-world environments?

Preprints & Publications ( show selected | show all by date )

(* indicates equal contribution.)

	DYMO-Hair: Generalizable Volumetric Dynamics Modeling for Robot Hair Manipulation Chengyang Zhao, Uksang Yoo, Arkadeep Narayan Chaudhury, Giljoo Nam, Jonathan Francis, Jeffrey Ichnowski, Jean Oh Arxiv, 2025 [paper] [webpage]
	Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy Zhi Hou, Tianyi Zhang, Yuwen Xiong, Haonan Duan, Hengjun Pu, Ronglei Tong, Chengyang Zhao, Xizhou Zhu, Yu Qiao, Jifeng Dai, Yuntao Chen International Conference on Computer Vision (ICCV), 2025 [paper] [webpage] [code]
	RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning Haoran Geng, Feishi Wang, Songlin Wei, Yuyang Li, Bangjun Wang, Boshi An, Charlie Tianyue Cheng, Haozhe Lou, Peihao Li, Yen-Jen Wang, Yutong Liang, Dylan Goetting, Chaoyi Xu, Haozhe Chen, Yuxi Qian, Yiran Geng, Jiageng Mao, Weikang Wan, Mingtong Zhang, Jiangran Lyu, Siheng Zhao, Jiazhao Zhang, Jialiang Zhang, Chengyang Zhao, Haoran Lu, Yufei Ding, Ran Gong, Yuran Wang, Yuxuan Kuang, Ruihai Wu, Baoxiong Jia, Carlo Sferrazza, Hao Dong, Siyuan Huang, Yue Wang, Jitendra Malik, Pieter Abbeel Robotics: Science and Systems (RSS)*, 2025 [paper] [webpage] [code]
	GAPartManip: A Large-scale Part-centric Dataset for Material-Agnostic Articulated Object Manipulation Wenbo Cui, Chengyang Zhao, Songlin Wei, Jiazhao Zhang, Haoran Geng, Yaran Chen, He Wang International Conference on Robotics & Automation (ICRA)*, 2025 [paper] [webpage]
	D³RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation Songlin Wei, Haoran Geng, Jiayi Chen, Congyue Deng, Wenbo Cui, Chengyang Zhao, Xiaomeng Fang, Leonidas Guibas, He Wang Conference on Robot Learning (CoRL), 2024 [paper] [webpage] [code]
	TextPSG: Panoptic Scene Graph Generation from Textual Descriptions Chengyang Zhao, Yikang Shen, Zhenfang Chen, Mingyu Ding, Chuang Gan International Conference on Computer Vision (ICCV), 2023 [paper] [webpage] [code]
	GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts Haoran Geng, Helin Xu, Chengyang Zhao, Chao Xu, Li Yi, Siyuan Huang, He Wang ( The order is determined by rolling dice.) Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (Highlight) [paper] [webpage] [code] [dataset]

Thanks Jon Barron for this amazing template :D
Last Updated: Oct. 2025