Weikang Wan

Weikang Wan 「万维康」

I'm a senior undergraduate student in EECS at Peking University (PKU).

I am now research intern at UT Austin RPL Lab, advised by Prof. Yuke Zhu. I have been working as a research intern at PKU EPIC Lab since 2021, advised by Prof. He Wang. I also had the privilege of working closely with Prof. Li Yi at Tsinghua University, Prof. David Held and Prof. Zackory Erickson in the Robotics Institute at Carnegie Mellon University.

My research interests are on the intersection of robotics and embodied AI. Specifically, I am focusing on developing efficient algorithms which enable embodied robots to learn how to perform complex tasks with strong generalization in the 3D world.

Email / Google Scholar / Github

Research

*:equivalent contribution; †: corresponding author(s)

	LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery Weikang Wan, Yifeng Zhu, Rutav Shah, Yuke Zhu project page / arXiv / code ICRA 2024 CoRL 2023 @ Deployable, Oral Presentation
	Differentiable Trajectory Optimization as a Policy Class for Reinforcement and Imitation Learning Weikang Wan, Yufei Wang, Zackory Erickson, David Held project page / arXiv / code Under Review
	UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang^† project page / arXiv / code ICCV 2023, Oral Presentation, Best Paper Finalist (Top 0.2% of submissions)
	UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy Yinzhen Xu, Weikang Wan, Jialiang Zhang, Haoran Liu, Zikang Shan, Hao Shen, Ruicheng Wang, Haoran Geng, Yijia Weng, Jiayi Chen, Tengyu Liu, Li Yi, He Wang^† project page / arXiv / code CVPR 2023
	Learning Category-Level Generalizable Object Manipulation Policy via Generative Adversarial Self-Imitation Learning from Demonstrations Hao Shen, Weikang Wan, He Wang^† project page / arXiv / code Robotics and Automation Letters (RA-L) and IROS 2022 1st place winner of SAPIEN ManiSkill Challenge 2021 (ICLR 2022 Challenge Track)
	HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction Yunze Liu, Yun Liu, Che Jiang, Kangbo Lyu, Weikang Wan, Hao Shen, Boqiang Liang, Zhoujie Fu, He Wang, Li Yi^† project page / arXiv / code / CVPR 2023 challenge / workshop CVPR 2022

Research Experience

	UT Austin, USA 2023.7 - now Visiting Researcher Advisor: Prof. Yuke Zhu
	Carnegie Mellon University, USA 2022.12 - 2023.7 Visiting Researcher Advisor: Prof. David Held and Prof. Zackory Erickson
	Peking University, China 2021.05 - Present Undergraduate Research Intern Advisor: Prof. He Wang

Services

Reviewer: CVPR 2023; RSS 2023; ICRA 2024

Updated at Oct. 2023

Thanks Jon Barron for this amazing template