Weikang Wan

According to our database, Weikang Wan authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Scaling Cross-Embodiment World Models for Dexterous Manipulation.

Zihao He, Bo Ai, Tongzhou Mu, Yulin Liu, Weikang Wan, Jiawei Fu, Yilun Du, Henrik I. Christensen, Hao Su

CoRR, November, 2025

Learning to Plan & Schedule with Reinforcement-Learned Bimanual Robot Skills.

Weikang Wan, Fabio Ramos, Xuning Yang, Caelan Reed Garrett

CoRR, October, 2025

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations.

Weikang Wan, Jiawei Fu, Xiaodi Yuan, Yifeng Zhu, Hao Su

CoRR, August, 2025

ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making.

Liu Dai, Haina Wang, Weikang Wan, Hao Su

CoRR, May, 2025

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, Yue Wang, Jitendra Malik, Pieter Abbeel

CoRR, April, 2025

Na Vid-4D: Unleashing Spatial Intelligence in Egocentric RGB-D Videos for Vision-and-Language Navigation.

Haoran Liu, Weikang Wan, Xiqian Yu, Minghan Li, Jiazhao Zhang, Bo Zhao, Zhibo Chen, Zhongyuan Wang, Zhizheng Zhang, He Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning.

Zhenyu Jiang, Yuqi Xie, Kevin Lin, Zhenjia Xu, Weikang Wan, Ajay Mandlekar, Linxi Jim Fan, Yuke Zhu

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

DiffTOP: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning.

Weikang Wan, Yufei Wang, Zackory Erickson, David Held

CoRR, 2024

DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning.

Weikang Wan, Ziyu Wang, Yufei Wang, Zackory Erickson, David Held

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery.

Weikang Wan, Yifeng Zhu, Rutav Shah, Yuke Zhu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning Category-Level Generalizable Object Manipulation Policy Via Generative Adversarial Self-Imitation Learning From Demonstrations.

Hao Shen, Weikang Wan, He Wang

IEEE Robotics Autom. Lett., 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022