Ruiqi Ni   倪瑞祺

Deparment of Computer Science
Purdue University
Email: ni117 AT purdue DOT edu
[CV] [Github] [Google Scholar]


I am a PhD student in the Deparment of Computer Science at Purdue University, supervised by Prof. Ahmed H. Qureshi.

I was a graduate student in the Deparment of Computer Science at Florida State University, supervised by Prof. Xifeng Gao, and I also worked closely with Dr. Zherong Pan. I had an internship at Adobe Research, working with Dr. Kevin Wampler.

I received my B.S degree from University of Science and Technology of China, supervised by Prof. Ligang Liu and Dr. Xiao-Ming Fu.

Research interests

Motion Planning and Control, Trajectory Optimization, Physics-based Simulation, Geometry Processing


Progressive Learning for Physics-informed Neural Motion Planning

Ruiqi Ni, Ahmed H. Qureshi
Robotics: Science and Systems (RSS), 2023.
RSS 2023 Symmetries in Robot Learning Workshop. Oral.
[Paper] [arXiv] [Code]

NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning

Ruiqi Ni, Ahmed H. Qureshi
International Conference on Representation Learning (ICLR), 2023. Spotlight.
ICLR 2023 Neural Fields Workshop. Best paper.
[Paper] [arXiv] [workshop] [Code]

Robust Multi-Robot Trajectory Optimization Using Alternating Direction Method of Multiplier

Ruiqi Ni, Zherong Pan, Xifeng Gao
IEEE Robotics and Automation Letters (RA-L), 2022.
[Paper] [arXiv] [Code]

Robust & Asymptotically Locally Optimal UAV-Trajectory Generation Based on Spline Subdivision

Ruiqi Ni, Teseo Schneider, Daniele Panozzo, Zherong Pan, Xifeng Gao
IEEE International Conference on Robotics and Automation (ICRA), 2021.
[Paper] [arXiv] [Code]

Progressive Parameterizations

Ligang Liu, Chunyang Ye, Ruiqi Ni, Xiao-Ming Fu
ACM Transactions on Graphics (SIGGRAPH), 2018.
[Paper] [Project page] [Code]