NOVA - Spatial AI & Robotics Lab

NOVA is a quadruped robot that is a trailblazer in motion and machine learning. Designed to navigate and adapt like a creature born in silicon and steel, Nova serves as a hands-on research partner for exploring a wide range of topics in robotics.

Its research interests include navigating rough terrain, confident climbing, and dynamic adaptation. Nova’s grace is only matched by her grit, making her an ideal platform for testing and refining algorithms in the real world. Whether it’s dancing through challenging landscapes or adapting to new environments, NOVA is always ready to make a path.

With her robust form and dynamic capabilities, she turns abstract code into expressive, physical motion, and brings ideas to life, one step at a time.

Publications

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.

SAIR Lab Selected
```
@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},
  addendum = {SAIR Lab Selected}
}
```
```
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.
```