Publications

@article{li2026agentic,
  title = {Agentic Self-Evolutionary Replanning for Embodied Navigation},
  author = {Li, Guoliang and Han, Ruihua and Li, Chengyang and Li, He and Wang, Shuai and Ding, Wenchao and Zhang, Hong and Xu, Chengzhong},
  journal = {arXiv preprint arXiv:2603.02772},
  year = {2026},
}

@article{han2026ir,
  title = {IR-SIM: A Lightweight Skill-Native Simulator for Navigation, Learning, and Benchmarking},
  author = {Han, Ruihua and Wang, Shuai and Li, Chengyang and Gao, Rui and Wang, Xinyi and Liu, Zhe and Li, Guoliang and Lu, Yupu and Hao, Qi and Pan, Jia and Zhao, Hengshuang},
  journal = {arXiv preprint arXiv:2606.08729},
  year = {2026},
}

@article{fan2026dreamavoid,
  title = {DreamAvoid: Critical-Phase Test-Time Dreaming to Avoid Failures in VLA Policies},
  author = {Fan, Xianzhe and Lu, Yuxiang and Gao, Shenyuan and Wu, Xiaoyang and Han, Ruihua and Li, Manling and Zhao, Hengshuang},
  journal = {arXiv preprint arXiv:2605.11750},
  year = {2026},
}

@article{linEmbodiedNeuromorphicSynergy2024,
  title = {Embodied Neuromorphic Synergy for Lighting-Robust Machine Vision to See in Extreme Bright},
  author = {Lin, Shijie and Zheng, Guangze and Wang, Ziwei and Han, Ruihua and Xing, Wanli and Zhang, Zeqing and Peng, Yifan and Pan, Jia},
  year = {2024},
  month = dec,
  journal = {Nature Communications},
  volume = {15},
  number = {1},
  pages = {10781},
  issn = {2041-1723},
  doi = {10.1038/s41467-024-54789-8},
}

@article{han2024neupan,
  title = {NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning},
  author = {Han, Ruihua and Wang, Shuai and Wang, Shuaijun and Zhang, Zeqing and Chen, Jianjun and Lin, Shijie and Li, Chengyang and Xu, Chengzhong and Eldar, Yonina C and Hao, Qi and Pan, Jia},
  journal = {IEEE Transactions on Robotics (Popular Paper)},
  year = {2025},
}

@article{li2024edge,
  title = {Edge Accelerated Robot Navigation With Collaborative Motion Planning},
  author = {Li*, Guoliang and Han*, Ruihua and Wang, Shuai and Gao, Fei and Eldar, Yonina C and Xu, Chengzhong},
  journal = {IEEE/ASME Transactions on Mechatronics},
  year = {2024},
  publisher = {IEEE},
}

@article{han2023rda,
  title = {Rda: An accelerated collision free motion planner for autonomous navigation in cluttered environments},
  author = {Han, Ruihua and Wang, Shuai and Wang, Shuaijun and Zhang, Zeqing and Zhang, Qianru and Eldar, Yonina C and Hao, Qi and Pan, Jia},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  volume = {8},
  number = {3},
  pages = {1715--1722},
  year = {2023},
  publisher = {IEEE},
}

@article{han2022reinforcement,
  title = {Reinforcement learned distributed multi-robot navigation with reciprocal velocity obstacle shaped rewards},
  author = {Han, Ruihua and Chen, Shengduo and Wang, Shuaijun and Zhang, Zeqing and Gao, Rui and Hao, Qi and Pan, Jia},
  journal = {IEEE Robotics and Automation Letters},
  volume = {7},
  number = {3},
  pages = {5896--5903},
  year = {2022},
  publisher = {IEEE},
}

@inproceedings{han2020cooperative,
  title = {Cooperative multi-robot navigation in dynamic environment with deep reinforcement learning},
  author = {Han, Ruihua and Chen, Shengduo and Hao, Qi},
  booktitle = {2020 IEEE International Conference on Robotics and Automation (ICRA)},
  pages = {448--454},
  year = {2020},
  organization = {IEEE},
}

@inproceedings{han2020distributed,
  title = {A distributed range-only collision avoidance approach for low-cost large-scale multi-robot systems},
  author = {Han, Ruihua and Chen, Shengduo and Hao, Qi},
  booktitle = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages = {8020--8026},
  year = {2020},
  organization = {IEEE},
}

@inproceedings{wang2022adaptive,
  title = {Adaptive environment modeling based reinforcement learning for collision avoidance in complex scenes},
  author = {Wang, Shuaijun and Gao, Rui and Han, Ruihua and Chen, Shengduo and Li, Chengyang and Hao, Qi},
  booktitle = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages = {9011--9018},
  year = {2022},
  organization = {IEEE},
}

@article{wang2023active,
  title = {Active Scene Flow Estimation for Autonomous Driving via Real-Time Scene Prediction and Optimal Decision},
  author = {Wang, Shuaijun and Gao, Rui and Han, Ruihua and Chen, Jianjun and Zhao, Zirui and Lyu, Zhijun and Hao, Qi},
  journal = {IEEE Transactions on Intelligent Transportation Systems},
  year = {2023},
  publisher = {IEEE},
}

@article{wang20233dsf,
  title = {3DSF-MixNet: Mixer-Based Symmetric Scene Flow Estimation From 3D Point Clouds},
  author = {Wang, Shuaijun and Gao, Rui and Han, Ruihua and Hao, Qi},
  journal = {IEEE Robotics and Automation Letters},
  volume = {9},
  number = {1},
  pages = {611--618},
  year = {2023},
  publisher = {IEEE},
}

@inproceedings{zhang2023spatial,
  title = {Spatial-temporal graph learning with adversarial contrastive adaptation},
  author = {Zhang, Qianru and Huang, Chao and Xia, Lianghao and Wang, Zheng and Yiu, Siu Ming and Han, Ruihua},
  booktitle = {International Conference on Machine Learning (ICML)},
  pages = {41151--41163},
  year = {2023},
  organization = {PMLR},
}

@article{10465251,
  author = {Li, He and Han, Ruihua and Zhao, Zirui and Xu, Wei and Hao, Qi and Wang, Shuai and Xu, Chengzhong},
  journal = {IEEE Robotics and Automation Letters},
  title = {Seamless Virtual Reality With Integrated Synchronizer and Synthesizer for Autonomous Driving},
  year = {2024},
  volume = {},
  number = {},
  pages = {1-8},
  keywords = {Synchronization;Vectors;Synthesizers;Image synthesis;Solid modeling;Data models;Autonomous vehicles;Autonomous driving;imitation learning;sim-to-real;virtual reality},
  doi = {10.1109/LRA.2024.3375266},
}