[Peihao Li]
Peihao Li 李沛豪
Graduate Researcher, Berkeley AI Research (BAIR) Lab
Graduate Student, University of California, Berkeley
Email: phli (at) berkeley.edu

"Good morning! And in case I don't see ya, good afternoon, good evening, and good night!"

--- The Truman Show

"You can't connect the dots looking forward; you can only connect them looking backward. So you have to trust that the dots will somehow connect in your future."

--- Steve Jobs

文章千古事,得失寸心知。

--- 《偶题》【唐】杜甫
News
  • [2026/09] 🎉 Large Video Planner (LVP) accepted to CoRL 2026!
  • [2026/06] 🎨 We are organizing The 1st Embodied4Arts Workshop @ RSS 2026. Look forward to your best work and see you in Sydney!
  • [2026/04] 🎓 I'm grateful to be awarded the Fung Excellence Scholarship in support of my graduate studies!
  • [2026/04] University of MichiganI graduated from the University of Michigan with a B.S. in Computer Science and a minor in Mathematics. Forever, Go Blue!
  • [2026/03] 🏆 I won EECS Outstanding Research Award at the University of Michigan (1/3.5k+, selected as the only recipient among all Computer Science major undergraduates)
  • [2025/12] 🏆 I'm honored to receive CRA Outstanding Undergraduate Researcher Award Honorable Mention!
  • [2025/12] 🎉 ROSE wins 🏆 Best Paper Award at NeurIPS 2025 Workshop @SpaVLE!
  • [2025/12] 👨‍🏫 Selected as Instructional Assistant for CSE 543: Ethics for AI and Robotics (Graduate-level)
  • [2025/10] 🎉 RoboVerse wins 🏆 Best Paper Award at IROS 2025 Workshop @RGMCW!
  • [2025/10] 🎉 RoboVerse wins 🏆 Best Open-Source Award at IROS 2025 Workshop @RoboGen!
  • [2025/09] 🎙️ ROSE was selected for an Oral Presentation at the CoRL 2025 Human-to-Robot Workshop.
  • [2025/08] 🎉 AlphaOne accepted to EMNLP 2025!
  • [2025/04] 🎉 RoboVerse accepted to RSS 2025!
  • [2025/04] 🚀 RoboVerse is officially released!
  • [2024/11] 🌟 Started my journey as a Visiting Researcher at Berkeley AI Research (BAIR).
  • [2024/10] 🏅 GenHint won Best Developer Tools Award at MHacks 2024.
  • [2024/08] 🎓 Received Sophomore Honors Award at University of Michigan.
  • [2023/12] 🎖️ Awarded University Honors (Dean's List), University of Michigan.
  • [2023/05] 💎 Awarded Global Nankai Scholarship, Nankai University.
  • [2023/03] 👨‍🏫 Received Best Teaching Assistant Award, Nankai University.
  • [2022/06] 📚 Awarded Academic Progress Scholarship (1/132), Nankai University.
About
Peihao Li (李沛豪) is a graduate student in Electrical Engineering and Computer Sciences (EECS) at UC Berkeley, supported by the Fung Excellence Scholarship. He is a graduate researcher at Berkeley AI Research (BAIR) Lab, where he works with Prof. Pieter Abbeel and Prof. Jitendra Malik. He has also been fortunate to collaborate closely with Prof. Chenfanfu Jiang, Prof. Yin Yang, Prof. Jiajun Wu, and Prof. Yilun Du. He received his B.S. in Computer Science, with a minor in Mathematics, from the University of Michigan. His research interests lie in robot learning through physically grounded perception and representations, with the goal of closing the loop between pixels, physics, and policy.
Research
(* equal contribution, † equal advising, ‡ project lead, highlight: representative papers)
@inproceedings{chen2026largevideoplanner,
  title={Large Video Planner Enables Generalizable Robot Control},
  author={Boyuan Chen and Tianyuan Zhang and Haoran Geng and Caiyi Zhang and Peihao Li and Kiwhan Song and William T. Freeman and Jitendra Malik and Pieter Abbeel and Russ Tedrake and Vincent Sitzmann and Yilun Du},
  booktitle={Conference on Robot Learning (CoRL)},
  year={2026}
}
Mingxuan Yan, Litian Gong, Dihong Huang, Zhixu Li, Tianyu Zhang, Wenqian Zhang, Hefeifei Jiang, Peihao Li, Jian Zhang, Mengfei Zhao, Yikai Tang, Hai Zhai, Zehao Wang, Ruijian Liang, Yanjia Huang, Lin Shao, Changliu Liu, Kaiyu Hang, Zhiwen Fan, Masayoshi Tomizuka, Jianfei Yang, and Jiachen Li
In Submission
@article{yan2026whatmatters,
  title={What Matters in Quality-Aware VLA Pretraining: A Benchmark and Empirical Study},
  author={Yan, Mingxuan and Gong, Litian and Huang, Dihong and Li, Zhixu and Zhang, Tianyu and Zhang, Wenqian and Jiang, Hefeifei and Li, Peihao and Zhang, Jian and Zhao, Mengfei and Tang, Yikai and Zhai, Hai and Wang, Zehao and Liang, Ruijian and Huang, Yanjia and Shao, Lin and Liu, Changliu and Hang, Kaiyu and Fan, Zhiwen and Tomizuka, Masayoshi and Yang, Jianfei and Li, Jiachen},
  journal={arXiv preprint arXiv:2610.18869},
  year={2026}
}
Ning Zhu*, Mengfei Zhao*, Yikai Tang*, Zhangyujie Sun, Peihao Li, Dongyue Ni, Jindou Jia, and Jianfei Yang
In Submission
@article{tuco2026,
  title={{TUCO}: Curating Simulation Demonstrations for Sim-to-Real Robot Policy Co-Training},
  author={Zhu, Ning and Zhao, Mengfei and Tang, Yikai and Sun, Zhangyujie and Li, Peihao and Ni, Dongyue and Jia, Jindou and Yang, Jianfei},
  journal={arXiv preprint arXiv:2610.05407},
  year={2026}
}
@article{he2026fishbone,
  title={Fishbone: From One 3D Asset to a Million Controllable Edits},
  author={He, Yumeng and Wang, Xiaoying and Li, Peihao and Huang, Yanjia and Masterjohn, Joe and Wu, Jiajun and Guibas, Leonidas and Yang, Yin and Jiang, Ying and Jiang, Chenfanfu},
  journal={arXiv preprint arXiv:2605.24805},
  year={2026}
}
Mengfei Zhao*, Dihong Huang*, Yikai Tang*, Peihao Li*, Mingxuan Yan*, Ruiqi Zhuang*, Yanjia Huang*, Jie Wang, Hai Zhai, Tony Zhou, Rui Zhang, Zhexi Luo, Yuchen Huang, Jianfei Yang, and Jiachen Li
IROS 2026 @Physical World Models for Scaling Embodied AI
@article{zhao2026axis,
  title={AXIS: A Growable Community-Driven Data Engine for Scalable Robot Manipulation},
  author={Mengfei Zhao and Dihong Huang and Yikai Tang and Peihao Li and Mingxuan Yan and Ruiqi Zhuang and Yanjia Huang and Jie Wang and Hai Zhai and Tony Zhou and Rui Zhang and Zhexi Luo and Yuchen Huang and Jianfei Yang and Jiachen Li},
  journal={arXiv preprint arXiv:2607.21588},
  year={2026},
  url={https://arxiv.org/abs/2607.21588}
}
@inproceedings{li2025rose,
  title={ROSE: Reconstructing Objects, Scenes, and Trajectories from Casual Videos for Robotic Manipulation},
  author={Li, Peihao and Geng, Haoran and Crate, Jameson and Han, Yanbing and Zhang, Junyi and Wang, Feishi and Cheng, Charlie Tianyue and Dong, Runpei and Wang, Yen-Jen and Lou, Haozhe and others},
  booktitle={NeurIPS 2025 Workshop on Space in Vision, Language, and Embodied AI}
}
@misc{geng2025roboverseunifiedplatformdataset,
  title={RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning}, 
  author={Haoran Geng and Feishi Wang and Songlin Wei and Yuyang Li and Bangjun Wang and Boshi An and Charlie Tianyue Cheng and Haozhe Lou and Peihao Li and Yen-Jen Wang and Yutong Liang and Dylan Goetting and Chaoyi Xu and Haozhe Chen and Yuxi Qian and Yiran Geng and Jiageng Mao and Weikang Wan and Mingtong Zhang and Jiangran Lyu and Siheng Zhao and Jiazhao Zhang and Jialiang Zhang and Chengyang Zhao and Haoran Lu and Yufei Ding and Ran Gong and Yuran Wang and Yuxuan Kuang and Ruihai Wu and Baoxiong Jia and Carlo Sferrazza and Hao Dong and Siyuan Huang and Yue Wang and Jitendra Malik and Pieter Abbeel},
  year={2025},
  eprint={2504.18904},
  archivePrefix={arXiv},
  primaryClass={cs.RO},
  url={https://arxiv.org/abs/2504.18904}, 
}
  @article{zhang2025alphaone,
  title={AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time},
  author={Zhang, Junyu and Dong, Runpei and Wang, Han and Ning, Xuying and Geng, Haoran and Li, Peihao and He, Xialin and Bai, Yutong and Malik, Jitendra and Gupta, Saurabh and Zhang, Huan},
  journal={arXiv preprint arXiv:2505.24863},
  year={2025}
  }
Education
M.Eng. in Electrical Engineering and Computer Sciences
B.S. in Computer Science, Minor in Mathematics
Experience
Mentorship
Kara Lu, University of Illinois, Urbana-Champaign
Yanzi He, Sacred Heart Preparatory
Cohen Lu, Army and Navy Academy
Invited Talks
[Jun 2026] "Learning from Human Videos for Robotic Manipulation" @ UC Riverside hosted by Jiachen Li
[May 2026] Graduation Commencement Speech @ University of Michigan, Department of Mathematics
[Dec 2025] "ROSE: Reconstructing Objects, Scenes, and Trajectories from Casual Videos for Robotic Manipulation" @ NeurIPS 2025 Workshop on Space in Vision, Language, and Embodied AI (Best Paper Award)
[Oct 2025] "Learning from Human Videos for Robotic Manipulation" @ UC Davis hosted by Junshan Zhang
[Sep 2025] "ROSE: Reconstructing Objects, Scenes, and Trajectories from Casual Videos for Robotic Manipulation" @ CoRL 2025 Workshop on Human to Robot (Oral Presentation)
Service
Peer Reviewer: ICLR, NeurIPS, CoRL, IROS, RA-L, RSS, SIGGRAPH
Teaching Assistant: CSE 543 Ethics for AI and Robotics (Grad-level) @ University of Michigan
Core Contributor: Michigan Student Artificial Intelligence Lab, Michigan Blockchain, Michigan Backpacking Club, Michigan Photography Club
Selected Honors
  • Fung Excellence Scholarship, UC Berkeley, 2026
  • EECS Outstanding Research Award (1/3.5k+, the only CS major recipient), University of Michigan, 2026
  • CRA Outstanding Undergraduate Researcher Award Honorable Mention, 2025
  • Best Paper Award, NeurIPS 2025 @ Space in Vision, Language, and Embodied AI, 2025
  • Best Paper Award, IROS 2025 @ Benchmarking in Robotic Grasping and Manipulation, 2025
  • Best Open-Source Award, IROS 2025 @ RoboGen, 2025
  • Oral Presentation, CoRL 2025 @ Human to Robot, 2025
  • University Honors (Dean's List), University of Michigan, 2023, 2024, 2025
  • MHacks Best Developer Tool Award, University of Michigan, 2024
  • Silver Medal (30th/956), Kaggle Image Matching Challenge, 2024
  • Sophomore Honors Award, University of Michigan, 2024
  • Ranked 10th/100k in National High School Entrance Examination