XPolicyLab received the Best Tool Paper Award at the IROS 2026 ScaleInfra Workshop.
Embodied AI · Robotic Manipulation · Computer Vision
Yuran Wang
王昱然
I am a Ph.D. candidate at the School of Computing, NUS, advised by Prof. Lin Shao. Prior to that, I spent a very enjoyable master’s time at Peking University under the supervision of Prof. Hao Dong and Dr. Ruihai Wu. Earlier, I studied at Chien-Shiung Wu College, Southeast University, where I was nominated for the Most Influential Graduate honor of Southeast University.
Photo by Qize Yu.
News
OpenWAM has been released! It is a full-stack, open-source research framework for World Action Models.
Welcome aboard OpenWAM and have fun!
Released XPolicyLab, a unified standard for robot policy evaluation and deployment!
Released RoboDojo, a unified sim-and-real benchmark for generalist robot manipulation!
GarmentPile++ was accepted to ICRA 2026. Congratulations to Mingleyang Li!
In addition, four other papers were accepted to ICRA 2026. Congratulations to all collaborators!
DexGarmentLab was accepted as a Spotlight paper at NeurIPS 2025.
GarmentPile was accepted to CVPR 2025.
Education
National University of Singapore
Ph.D., Embodied AI
Peking University
Master, Embodied AI
Southeast University
Bachelor, Computer Science and Technology
Publications
Selected Publications
Additional Works Other Publications Click Other Publications to view more works.
DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting
ICRA 2026
Jiayuan Zhang, Ruihai Wu, Haojun Chen, Yuran Wang, Yifan Zhong, Ceyao Zhang, Yaodong Yang, Yuanpei Chen
Sparse Meets Dense: Correspondence Guided Robotic Manipulation with Rigid-Deformable Interactions
ICRA 2026
Ziyu Zhu, Ruihai Wu, Yue Chen, Xirui Liang, Hojin Bae, Yuran Wang, Hao Dong
Experience
Selected Activities
LeHome Challenge @ ICRA 2026
Organizer of the first simulation-driven competition on deformable object manipulation.
Challenge PageCambridge University Visiting
Participated in a 14-day PBL course on system design and engineering thinking, with emphasis on product feasibility, user needs, and market characteristics.
Contact
Let’s Connect
I welcome conversations about embodied AI, robotic manipulation, simulation, and generalizable policy learning.