Zhuoqun Chen began his research intership at the Spatial AI and Robotics (SAIR) Lab in the summer of 2024. Prior to joining the SAIR Lab, he pursued an MSE in Robotics at UC San Diego. Zhuoqun’s past research primarily focused on learning-based legged locomotion.

Experience

Research Intern
- SAIR Lab, University at Buffalo (UB), USA
- Aug. 2024 - Present
Research Intern
- Wang Lab, UC San Diego, USA
- Nov. 2022 - Jul. 2024

Education

Master of Science in Electrical and Computer Engineering
- UC San Diego, USA
- Sep. 2022 - Jul. 2024
Bachelor of Engineering in Telecommunication Engineering
- Zhengzhou University, China
- Sep. 2017 - Jul. 2021

Other Information

Work Email: zqchen33@gmail.com

Publications

AirRoom: Objects Matter in Room Reidentification.
Runmao Yao, Yi Du, Zhuoqun Chen, Haoze Zheng, Chen Wang.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
```
@inproceedings{yao2025airroom,
  title = {{AirRoom}: Objects Matter in Room Reidentification},
  author = {Yao, Runmao and Du, Yi and Chen, Zhuoqun and Zheng, Haoze and Wang, Chen},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  url = {https://arxiv.org/abs/2503.01130},
  website = {https://sairlab.org/airroom/},
  year = {2025}
}
```
```
Yao, Runmao and Du, Yi and Chen, Zhuoqun and Zheng, Haoze and Wang, Chen, "AirRoom: Objects Matter in Room Reidentification," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
```
VL-Nav: Real-time Vision-Language Navigation with Spatial Reasoning.
Yi Du, Taimeng Fu, Zhuoqun Chen, Bowen Li, Shaoshu Su, Zhipeng Zhao, Chen Wang.
arXiv preprint arXiv:2502.00931, 2025.

SAIR Lab Selected
```
@article{du2025vlnav,
  title = {{VL-Nav}: Real-time Vision-Language Navigation with Spatial Reasoning},
  author = {Du, Yi and Fu, Taimeng and Chen, Zhuoqun and Li, Bowen and Su, Shaoshu and Zhao, Zhipeng and Wang, Chen},
  year = {2025},
  journal = {arXiv preprint arXiv:2502.00931},
  url = {https://arxiv.org/abs/2502.00931},
  website = {https://sairlab.org/vlnav/},
  addendum = {SAIR Lab Selected}
}
```
```
Du, Yi and Fu, Taimeng and Chen, Zhuoqun and Li, Bowen and Su, Shaoshu and Zhao, Zhipeng and Wang, Chen, "VL-Nav: Real-time Vision-Language Navigation with Spatial Reasoning," arXiv preprint arXiv:2502.00931, 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), 2025.
```
@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},
  url = {https://arxiv.org/abs/2412.09496},
  video = {https://youtu.be/7HPAMFbHc4U},
  website = {https://sairlab.org/iKap}
}
```
```
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.
```
Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior.
Ruihan Yang, Zhuoqun Chen, Jianhan Ma, Chongyi Zheng, Yiyu Chen, Quan Nguyen, Xiaolong Wang.
CoRL Deployable Workshop, 2023.

Best Paper Award
```
@article{yang2023generalized,
  title = {Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior},
  author = {Yang, Ruihan and Chen, Zhuoqun and Ma, Jianhan and Zheng, Chongyi and Chen, Yiyu and Nguyen, Quan and Wang, Xiaolong},
  journal = {CoRL Deployable Workshop},
  year = {2023},
  url = {https://arxiv.org/abs/2310.01408},
  video = {https://youtu.be/LNPfT-9LUGs},
  addendum = {Best Paper Award}
}
```
```
Yang, Ruihan and Chen, Zhuoqun and Ma, Jianhan and Zheng, Chongyi and Chen, Yiyu and Nguyen, Quan and Wang, Xiaolong, "Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior," CoRL Deployable Workshop, 2023.
```