Shaoshu Su is a Ph.D. student at the Department of Computer Science and Engineering (CSE), University at Buffalo (UB). His research interests include Learning-based Visual Odometry, Reinforcement Learning, as well as Planning and Control problems in Robotics 🤖.

Experience

Research Scientist
- University at Buffalo (UB), USA
- Nov. 2022 - Sept. 2023
Visiting Student
- University of California, Berkeley, USA
- Mar. 2022 - Nov. 2022
Research Assistant
- University of California, Riverside, USA
- 2020 - 2022

Education

Ph.D. in Computer Science
- University at Buffalo (UB), USA
- Aug. 2023 - Present
Master of Science in Electrical Engineering
- University of California, Riverside, USA
- Sep. 2019 - Mar. 2022
Bachelor of Science in Aerospace Engineering
- Beijing Institute of Technology, Beijing, China
- Sep. 2015 - June 2019

Emails

Work Email: shaoshus@sairlab.org
School Email: shaoshus@buffalo.edu

Publications

Fast Task Planning with Neuro-Symbolic Relaxation.
Qiwei Du, Bowen Li, Yi Du, Shaoshu Su, Taimeng Fu, Zitong Zhan, Zhipeng Zhao, Chen Wang.
IEEE Robotics and Automation Letters (RA-L), vol. 11, no. 3, pp. 3684–3691, 2026.

Neuro-Symbolic Task Planning Enables Promising Interactive Navigation
```
@article{du2026fast,
  title = {Fast Task Planning with Neuro-Symbolic Relaxation},
  author = {Du, Qiwei and Li, Bowen and Du, Yi and Su, Shaoshu and Fu, Taimeng and Zhan, Zitong and Zhao, Zhipeng and Wang, Chen},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = {2026},
  volume = {11},
  number = {3},
  pages = {3684-3691},
  url = {https://arxiv.org/abs/2507.15975},
  website = {https://sairlab.org/flax/},
  code = {https://github.com/sair-lab/flax},
  video = {https://youtu.be/_4DYcqwycnQ},
  cover = {/img/posts/2025-07-21-flax/Flax.mp4},
  addendum = {Neuro-Symbolic Task Planning Enables Promising Interactive Navigation}
}
```
```
Du, Qiwei and Li, Bowen and Du, Yi and Su, Shaoshu and Fu, Taimeng and Zhan, Zitong and Zhao, Zhipeng and Wang, Chen, "Fast Task Planning with Neuro-Symbolic Relaxation," IEEE Robotics and Automation Letters (RA-L), 2026.
```
VL-Nav: A Neuro-Symbolic Approach for Reasoning-based Vision-Language Navigation.
Yi Du, Taimeng Fu, Zhipeng Zhao, Shaoshu Su, Zitong Zhan, Qiwei Du, Zhuoqun Chen, Bowen Li, Chen Wang.
arXiv preprint arXiv:2502.00931, 2026.

Deployment-Ready Neuro-Symbolic Vision-Language Navigation
```
@article{du2026vlnav,
  title = {{VL-Nav}: A Neuro-Symbolic Approach for Reasoning-based Vision-Language Navigation},
  author = {Du, Yi and Fu, Taimeng and Zhao, Zhipeng and Su, Shaoshu and Zhan, Zitong and Du, Qiwei and Chen, Zhuoqun and Li, Bowen and Wang, Chen},
  year = {2026},
  journal = {arXiv preprint arXiv:2502.00931},
  url = {https://arxiv.org/abs/2502.00931},
  website = {https://sairlab.org/vlnav/},
  cover = {/img/posts/2025-02-01-vlnav/vlnav_cover.mp4},
  addendum = {Deployment-Ready Neuro-Symbolic Vision-Language Navigation}
}
```
```
Du, Yi and Fu, Taimeng and Zhao, Zhipeng and Su, Shaoshu and Zhan, Zitong and Du, Qiwei and Chen, Zhuoqun and Li, Bowen and Wang, Chen, "VL-Nav: A Neuro-Symbolic Approach for Reasoning-based Vision-Language Navigation," arXiv preprint arXiv:2502.00931, 2026.
```
Learning When to Jump for Off-road Navigation.
Zhipeng Zhao, Taimeng Fu, Shaoshu Su, Qiwei Du, Ehsan Tarkesh Esfahani, Karthik Dantu, Souma Chowdhury, Chen Wang.
arXiv preprint arXiv:2602.00877, 2026.
```
@article{zhao2026learning,
  title = {Learning When to Jump for Off-road Navigation},
  author = {Zhao, Zhipeng and Fu, Taimeng and Su, Shaoshu and Du, Qiwei and Esfahani, Ehsan Tarkesh and Dantu, Karthik and Chowdhury, Souma and Wang, Chen},
  journal = {arXiv preprint arXiv:2602.00877},
  year = {2026},
  url = {https://arxiv.org/abs/2602.00877},
  website = {https://sairlab.org/mat/},
  cover = {/img/posts/2026-02-09-mat/mat.mp4}
}
```
```
Zhao, Zhipeng and Fu, Taimeng and Su, Shaoshu and Du, Qiwei and Esfahani, Ehsan Tarkesh and Dantu, Karthik and Chowdhury, Souma and Wang, Chen, "Learning When to Jump for Off-road Navigation," arXiv preprint arXiv:2602.00877, 2026.
```
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy.
Chen Wang, Kaiyi Ji, Junyi Geng, Zhongqiang Ren, Taimeng Fu, Fan Yang, Yifan Guo, Haonan He, Xiangyu Chen, Zitong Zhan, Qiwei Du, Shaoshu Su, Bowen Li, Yuheng Qiu, Yi Du, Qihang Li, Yifan Yang, Xiao Lin, Zhipeng Zhao.
International Journal of Robotics Research (IJRR), 2025.

Unifying Robot Autonomy via Neuro-Symbolic Learning
```
@article{wang2025imperative,
  title = {Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy},
  author = {Wang, Chen and Ji, Kaiyi and Geng, Junyi and Ren, Zhongqiang and Fu, Taimeng and Yang, Fan and Guo, Yifan and He, Haonan and Chen, Xiangyu and Zhan, Zitong and Du, Qiwei and Su, Shaoshu and Li, Bowen and Qiu, Yuheng and Du, Yi and Li, Qihang and Yang, Yifan and Lin, Xiao and Zhao, Zhipeng},
  journal = {International Journal of Robotics Research (IJRR)},
  year = {2025},
  url = {https://arxiv.org/abs/2406.16087},
  code = {https://github.com/sair-lab/iSeries},
  website = {https://sairlab.org/iseries},
  cover = {/img/posts/2024-07-02-iSeries/il-cover.jpg},
  addendum = {Unifying Robot Autonomy via Neuro-Symbolic Learning}
}
```
```
Wang, Chen and Ji, Kaiyi and Geng, Junyi and Ren, Zhongqiang and Fu, Taimeng and Yang, Fan and Guo, Yifan and He, Haonan and Chen, Xiangyu and Zhan, Zitong and Du, Qiwei and Su, Shaoshu and Li, Bowen and Qiu, Yuheng and Du, Yi and Li, Qihang and Yang, Yifan and Lin, Xiao and Zhao, Zhipeng, "Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy," International Journal of Robotics Research (IJRR), 2025.
```
SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization.
Yi Du, Zhipeng Zhao, Shaoshu Su, Sharath Golluri, Haoze Zheng, Runmao Yao, Chen Wang.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16953–16964, 2025.

Unifying Point Cloud Processing via a Single Diffusion Model
```
@inproceedings{du2025superpc,
  title = {{SuperPC}: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization},
  author = {Du, Yi and Zhao, Zhipeng and Su, Shaoshu and Golluri, Sharath and Zheng, Haoze and Yao, Runmao and Wang, Chen},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  url = {https://arxiv.org/abs/2503.14558},
  year = {2025},
  pages = {16953--16964},
  code = {https://github.com/sair-lab/superpc},
  website = {https://sairlab.org/superpc/},
  cover = {/img/posts/2025-02-28-superpc/superpc_cover.mp4},
  addendum = {Unifying Point Cloud Processing via a Single Diffusion Model}
}
```
```
Du, Yi and Zhao, Zhipeng and Su, Shaoshu and Golluri, Sharath and Zheng, Haoze and Yao, Runmao and Wang, Chen, "SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
```
iKap: Kinematics-aware Planning with Imperative Learning.
Qihang Li, Zhuoqun Chen, Haoze Zheng, Haonan He, Shaoshu Su, Junyi Geng, Chen Wang.
IEEE International Conference on Robotics and Automation (ICRA), pp. 10164–10170, 2025.

Highlighted as an iSeries Article in Quadruped Robots
```
@inproceedings{li2025ikap,
  title = {{iKap}: Kinematics-aware Planning with Imperative Learning},
  author = {Li, Qihang and Chen, Zhuoqun and Zheng, Haoze and He, Haonan and Su, Shaoshu and Geng, Junyi and Wang, Chen},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  year = {2025},
  pages = {10164--10170},
  url = {https://arxiv.org/abs/2412.09496},
  video = {https://youtu.be/7HPAMFbHc4U},
  website = {https://sairlab.org/iKap},
  cover = {/img/posts/2024-12-12-ikap/cover.gif},
  addendum = {Highlighted as an iSeries Article in Quadruped Robots}
}
```
```
Li, Qihang and Chen, Zhuoqun and Zheng, Haoze and He, Haonan and Su, Shaoshu and Geng, Junyi and Wang, Chen, "iKap: Kinematics-aware Planning with Imperative Learning," IEEE International Conference on Robotics and Automation (ICRA), 2025.
```
Vision-Language Memory for Spatial Reasoning.
Zuntao Liu, Yi Du, Taimeng Fu, Shaoshu Su, Cherie Ho, Chen Wang.
arXiv preprint arXiv:2511.20644, 2025.
```
@article{liu2025vlm2,
  title = {Vision-Language Memory for Spatial Reasoning},
  author = {Liu, Zuntao and Du, Yi and Fu, Taimeng and Su, Shaoshu and Ho, Cherie and Wang, Chen},
  year = {2025},
  journal = {arXiv preprint arXiv:2511.20644},
  url = {https://arxiv.org/abs/2511.20644},
  website = {https://sairlab.org/vlm2/},
  cover = {/img/posts/2025-11-25-vlm2/vlm2.png}
}
```
```
Liu, Zuntao and Du, Yi and Fu, Taimeng and Su, Shaoshu and Ho, Cherie and Wang, Chen, "Vision-Language Memory for Spatial Reasoning," arXiv preprint arXiv:2511.20644, 2025.
```
AnyNav: Visual Neuro-symbolic Friction Learning for Off-road Navigation.
Taimeng Fu, Zitong Zhan, Zhipeng Zhao, Shaoshu Su, Xiao Lin, Ehsan Tarkesh Esfahani, Karthik Dantu, Souma Chowdhury, Chen Wang.
arXiv preprint arXiv:2501.12654, 2025.

A Self-Supervised Friction Estimation Framework
```
@article{fu2025anynav,
  title = {{AnyNav}: Visual Neuro-symbolic Friction Learning for Off-road Navigation},
  author = {Fu, Taimeng and Zhan, Zitong and Zhao, Zhipeng and Su, Shaoshu and Lin, Xiao and Esfahani, Ehsan Tarkesh and Dantu, Karthik and Chowdhury, Souma and Wang, Chen},
  journal = {arXiv preprint arXiv:2501.12654},
  year = {2025},
  url = {https://arxiv.org/abs/2501.12654},
  website = {https://sairlab.org/anynav/},
  cover = {/img/posts/2024-12-01-anynav/AnyNav.mp4},
  addendum = {A Self-Supervised Friction Estimation Framework}
}
```
```
Fu, Taimeng and Zhan, Zitong and Zhao, Zhipeng and Su, Shaoshu and Lin, Xiao and Esfahani, Ehsan Tarkesh and Dantu, Karthik and Chowdhury, Souma and Wang, Chen, "AnyNav: Visual Neuro-symbolic Friction Learning for Off-road Navigation," arXiv preprint arXiv:2501.12654, 2025.
```
iSLAM: Imperative SLAM.
Taimeng Fu, Shaoshu Su, Yiren Lu, Chen Wang.
IEEE Robotics and Automation Letters (RA-L), vol. 9, no. 5, pp. 4607–4614, 2024.

Presented at ICRA 2025 Highlighted as an iSeries Article in SLAM
```
@article{fu2024islam,
  title = {{iSLAM}: Imperative {SLAM}},
  author = {Fu, Taimeng and Su, Shaoshu and Lu, Yiren and Wang, Chen},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = {2024},
  volume = {9},
  number = {5},
  pages = {4607--4614},
  url = {https://arxiv.org/abs/2306.07894},
  code = {https://github.com/sair-lab/iSLAM/},
  video = {https://youtu.be/rtCvx0XCRno},
  website = {https://sairlab.org/iSLAM},
  cover = {/img/posts/2023-08-01-iSLAM/iSLAM.mp4},
  addinfo = {Presented at ICRA 2025},
  addendum = {Highlighted as an iSeries Article in SLAM}
}
```
```
Fu, Taimeng and Su, Shaoshu and Lu, Yiren and Wang, Chen, "iSLAM: Imperative SLAM," IEEE Robotics and Automation Letters (RA-L), 2024.
```
SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments.
Shibo Zhao, Yuanjun Gao, Tianhao Wu, Damanpreet Singh, Rushan Jiang, Haoxiang Sun, Mansi Sarawata, Warren C Whittaker, Ian Higgins, Shaoshu Su, Yi Du, Can Xu, John Keller, Jay Karhade, Lucas Nogueira, Sourojit Saha, Yuheng Qiu, Ji Zhang, Wenshan Wang, Chen Wang, Sebastian Scherer.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 22647–22657, 2024.
```
@inproceedings{zhao2024subt,
  title = {{SubT-MRS} Dataset: Pushing SLAM Towards All-weather Environments},
  author = {Zhao, Shibo and Gao, Yuanjun and Wu, Tianhao and Singh, Damanpreet and Jiang, Rushan and Sun, Haoxiang and Sarawata, Mansi and Whittaker, Warren C and Higgins, Ian and Su, Shaoshu and Du, Yi and Xu, Can and Keller, John and Karhade, Jay and Nogueira, Lucas and Saha, Sourojit and Qiu, Yuheng and Zhang, Ji and Wang, Wenshan and Wang, Chen and Scherer, Sebastian},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  pages = {22647--22657},
  url = {https://arxiv.org/abs/2307.07607},
  video = {https://youtu.be/mkN72Lv8S7A},
  website = {https://sairlab.org/datasets/subtmrs},
  code = {https://superodometry.com/datasets},
  cover = {/img/posts/2023-11-18-subtmrs/subtmrs-high.gif}
}
```
```
Zhao, Shibo and Gao, Yuanjun and Wu, Tianhao and Singh, Damanpreet and Jiang, Rushan and Sun, Haoxiang and Sarawata, Mansi and Whittaker, Warren C and Higgins, Ian and Su, Shaoshu and Du, Yi and Xu, Can and Keller, John and Karhade, Jay and Nogueira, Lucas and Saha, Sourojit and Qiu, Yuheng and Zhang, Ji and Wang, Wenshan and Wang, Chen and Scherer, Sebastian, "SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
```
PyPose v0.6: The Imperative Programming Interface for Robotics.
Zitong Zhan, Xiangfu Li, Qihang Li, Haonan He, Abhinav Pandey, Haitao Xiao, Yangmengfei Xu, Xiangyu Chen, Kuan Xu, Kun Cao, Zhipeng Zhao, Zihan Wang, Huan Xu, Zihang Fang, Yutian Chen, Wentao Wang, Xu Fang, Yi Du, Tianhao Wu, Xiao Lin, Yuheng Qiu, Fan Yang, Jingnan Shi, Shaoshu Su, Yiren Lu, Taimeng Fu, Karthik Dantu, Jiajun Wu, Lihua Xie, Marco Hutter, Luca Carlone, Sebastian Scherer, Daning Huang, Yaoyu Hu, Junyi Geng, Chen Wang.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Workshop, 2023.
```
@inproceedings{zhan2023pypose,
  title = {{PyPose} v0.6: The Imperative Programming Interface for Robotics},
  author = {Zhan, Zitong and Li, Xiangfu and Li, Qihang and He, Haonan and Pandey, Abhinav and Xiao, Haitao and Xu, Yangmengfei and Chen, Xiangyu and Xu, Kuan and Cao, Kun and Zhao, Zhipeng and Wang, Zihan and Xu, Huan and Fang, Zihang and Chen, Yutian and Wang, Wentao and Fang, Xu and Du, Yi and Wu, Tianhao and Lin, Xiao and Qiu, Yuheng and Yang, Fan and Shi, Jingnan and Su, Shaoshu and Lu, Yiren and Fu, Taimeng and Dantu, Karthik and Wu, Jiajun and Xie, Lihua and Hutter, Marco and Carlone, Luca and Scherer, Sebastian and Huang, Daning and Hu, Yaoyu and Geng, Junyi and Wang, Chen},
  year = {2023},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Workshop},
  url = {https://arxiv.org/abs/2309.13035},
  code = {https://github.com/pypose/pypose},
  video = {https://youtu.be/XDtUDIWuGng},
  website = {https://sairlab.org/pypose/},
  cover = {/img/pubs/pypose-v0.6.jpg}
}
```
```
Zhan, Zitong and Li, Xiangfu and Li, Qihang and He, Haonan and Pandey, Abhinav and Xiao, Haitao and Xu, Yangmengfei and Chen, Xiangyu and Xu, Kuan and Cao, Kun and Zhao, Zhipeng and Wang, Zihan and Xu, Huan and Fang, Zihang and Chen, Yutian and Wang, Wentao and Fang, Xu and Du, Yi and Wu, Tianhao and Lin, Xiao and Qiu, Yuheng and Yang, Fan and Shi, Jingnan and Su, Shaoshu and Lu, Yiren and Fu, Taimeng and Dantu, Karthik and Wu, Jiajun and Xie, Lihua and Hutter, Marco and Carlone, Luca and Scherer, Sebastian and Huang, Daning and Hu, Yaoyu and Geng, Junyi and Wang, Chen, "PyPose v0.6: The Imperative Programming Interface for Robotics," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Workshop, 2023.
```
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing.
Shaoshu Su, Ce Hao, Catherine Weaver, Chen Tang, Wei Zhan, Masayoshi Tomizuka.
22nd IFAC World Congress, vol. 56, no. 2, pp. 7940–7947, 2023.
```
@inproceedings{su2023double,
  title = {Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing},
  author = {Su, Shaoshu and Hao, Ce and Weaver, Catherine and Tang, Chen and Zhan, Wei and Tomizuka, Masayoshi},
  booktitle = {22nd IFAC World Congress},
  volume = {56},
  number = {2},
  pages = {7940--7947},
  year = {2023},
  publisher = {Elsevier},
  url = {https://www.sciencedirect.com/science/article/pii/S2405896323006936},
  cover = {/img/pubs/Double_iterative.mp4}
}
```
```
Su, Shaoshu and Hao, Ce and Weaver, Catherine and Tang, Chen and Zhan, Wei and Tomizuka, Masayoshi, "Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing," 22nd IFAC World Congress, 2023.
```
Multirobot Fully Distributed Active Joint Localization and Target Tracking.
Shaoshu Su, Pengxiang Zhu, Wei Ren.
IEEE Transactions on Control Systems Technology, 2023.
```
@article{su2023multirobot,
  title = {Multirobot Fully Distributed Active Joint Localization and Target Tracking},
  author = {Su, Shaoshu and Zhu, Pengxiang and Ren, Wei},
  journal = {IEEE Transactions on Control Systems Technology},
  year = {2023},
  publisher = {IEEE},
  url = {https://ieeexplore.ieee.org/abstract/document/10093944},
  cover = {/img/pubs/AJLATT.mp4}
}
```
```
Su, Shaoshu and Zhu, Pengxiang and Ren, Wei, "Multirobot Fully Distributed Active Joint Localization and Target Tracking," IEEE Transactions on Control Systems Technology, 2023.
```
An optimization approach to fully distributed active joint localization and target tracking in multi-robot systems.
Shaoshu Su, Pengxiang Zhu, Wei Ren.
2022 American Control Conference (ACC), pp. 5081–5086, 2022.
```
@inproceedings{su2022optimization,
  title = {An optimization approach to fully distributed active joint localization and target tracking in multi-robot systems},
  author = {Su, Shaoshu and Zhu, Pengxiang and Ren, Wei},
  booktitle = {2022 American Control Conference (ACC)},
  pages = {5081--5086},
  year = {2022},
  organization = {IEEE},
  url = {https://ieeexplore.ieee.org/abstract/document/9867337},
  cover = {/img/pubs/AJLATT_ACC.png}
}
```
```
Su, Shaoshu and Zhu, Pengxiang and Ren, Wei, "An optimization approach to fully distributed active joint localization and target tracking in multi-robot systems," 2022 American Control Conference (ACC), 2022.
```