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Weikang Wan /ˈweɪˌkɑːŋ ; wɑːn/
Email: w2wan [at] ucsd [dot] edu
Office: 5202 Atkinson Hall; 3195 Voigt Dr, La Jolla, CA 92093
I am currently a Ph.D. student in CSE at UCSD, advised by Prof. Hao Su. Previously, I obtained my B.S. of Computer Science from Peking University with honor.
I'm currently a research intern at NVIDIA Seattle Robotics Lab. Previously, I did my research intern at NVIDIA GEAR (24 Spring). I was a Visiting Student at CMU (23 Spring) and UT Austin (23 Summer).
📢 Feel free to contact me if you want to discuss or collaborate!.
Research Interest
My research interest lies at the intersection of Machine Learning, Robotics, and Computer vision. I am particularly interested in developing methods to generate and learn from diverse data for robots, enabling effective learning from minimal human supervision.
Publications ( show all by date / show selected )
(*/†: indicates equal contribution.)
Learning to Plan & Schedule with Reinforcement-Learned Bimanual Robot Skills
Weikang Wan*, Fabio Ramos, Xuning Yang, Caelan Garrett,
CoRL 2025 @ Learning Effective Abstractions for Planning Paper
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, Koushil Sreenath, Yue Wang, Jitendra Malik, Pieter Abbeel
LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery
Weikang Wan, Yifeng Zhu, Rutav Shah, Yuke Zhu
ICRA 2024
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[Abridged in CoRL 2023 @ Deployable, Oral Presentation]
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning
Weikang Wan*, Haoran Geng*, Haoran Liu*, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang
ICCV 2023 (Best Paper Finalist)
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Oral Presentation, Best Paper Finalist (Top 0.2% of submissions)
Learning Category-Level Generalizable Object Manipulation Policy via Generative Adversarial Self-Imitation Learning from Demonstrations
Hao Shen*, Weikang Wan*, He Wang
RA-L & IROS 2022 Project / Paper / Code
1st place winner of SAPIEN ManiSkill Challenge 2021 (ICLR 2022 Challenge Track)
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Updated at Jan. 2025
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