|
Haibo Zhao I'm a PhD student at the University of Washington, advised by Prof. Dieter Fox. My research aims to enable robot intelligence in unstructured environments, with a focus on manipulation. Before UW, I was grateful to work with Prof. Rob Platt, Prof. Robin Walters, and Dr. Dian Wang at Northeastern University. |
|
Research |
|
Equivariant Diffusion Policy for Sample-Efficient Robotic
Dian Wang, Stephen Hart, David Surovik, Tarik Kelestemur, Haojie Huang, Haibo Zhao, Mark Yeatman, Xupeng Zhu, Boce Hu, Mingxi Jia, Jiuguang Wang, Robin Walters, Robert Platt IJRR We present an equivariant diffusion policy approach for sample-efficient robotic learning that leverages symmetries in robotic manipulation tasks. |
|
Generalizable Hierarchical Skill Learning via Object-Centric Representation
Haibo Zhao, Yu Qi, Boce Hu, Yizhe Zhu, Ziyan Chen, Xupeng Zhu, Owen Howell, Haojie Huang, Robin Walters, Dian Wang*, Robert Platt* RA-L project page / paper We introduce a hierarchical skill learning framework that leverages vlm/mllm agent as high level, diffusion-based policy as low level, and object-centric representation to generalize across spatial arrangements, object instances, and novel tasks using minimal demonstrations. |
|
BEAR: Dissecting Embodied Abilities in Multimodal Language Models Through Skill-Level Evaluation and Diagnosis
Yu Qi*, Haibo Zhao*, Ziyu Guo*, Siyuan Ma, Ziyan Chen, Yaokun Han, Renrui Zhang, Zitiantao Lin, Yizhe Zhu, Shiji Xin, Yijian Huang, Boce Hu, Kai Cheng, Jiayi Zhang, Peiheng Wang, Jiazheng Liu, Wenqing Wang, Yiran Qin, Haojie Huang, Lawson L.S. Wong ICML, 2026 project page / paper We introduce BEAR, a large-scale benchmark and evaluation framework for assessing multimodal large language models on step-wise embodied capabilities. BEAR spans perception, reasoning, and action understanding across 4,469 interleaved image–video–text samples, providing a comprehensive analysis of atomic embodied skills. |
|
Residual Rotation Correction using Tactile Equivariance
Yizhe Zhu, Zhang Ye, Boce Hu, Haibo Zhao, Yu Qi, Dian Wang, Robert Platt RA-L project page / paper We introduce a tactile equivariance framework for residual rotation correction in robotic manipulation tasks. |
|
Hierarchical Equivariant Policy via Frame Transfer
Haibo Zhao*, Dian Wang*, Yizhe Zhu, Xupeng Zhu, Owen Howell, Linfeng Zhao, Yaoyao Qian, Robin Walters, Robert Platt ICML, 2025 project page / paper By introducing a frame transfer interface, we impose a soft constraint from the high-level open-loop policy onto the low-level closed-loop policy, combining the strengths of both approaches. |
|
Equivariant Diffusion Policy
Dian Wang, Stephen Hart, David Surovik, Tarik Kelestemur, Haojie Huang, Haibo Zhao, Mark Yeatman, Jiuguang Wang, Robin Walters, Robert Platt CoRL, 2024 (Best Paper Finalist) project page / paper |
Service |