Cai, Panpan

7 publications

NeurIPS 2025 ForceVLA: Enhancing VLA Models with a Force-Aware MoE for Contact-Rich Manipulation Jiawen Yu, Hairuo Liu, Qiaojun Yu, Jieji Ren, Ce Hao, Haitong Ding, Guangyu Huang, Guofan Huang, Yan Song, Panpan Cai, Wenqiang Zhang, Cewu Lu

AAAI 2025 RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning Kunming Su, Qiuxia Wu, Panpan Cai, Xiaogang Zhu, Xuequan Lu, Zhiyong Wang, Kun Hu

NeurIPS 2025 Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs Wenjing Tang, Xinyu He, Yongxi Huang, Yunxiao Xiao, Cewu Lu, Panpan Cai

NeurIPS 2025 UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning Haoming Ye, Yunxiao Xiao, Cewu Lu, Panpan Cai

ICLRW 2025 World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning Siyin Wang, Zhaoye Fei, Qinyuan Cheng, Shiduo Zhang, Panpan Cai, Jinlan Fu, Xipeng Qiu

NeurIPS 2023 What Truly Matters in Trajectory Prediction for Autonomous Driving? Tran Phong, Haoran Wu, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu

CoRL 2022 LEADER: Learning Attention over Driving Behaviors for Planning Under Uncertainty Mohamad Hosein Danesh, Panpan Cai, David Hsu