Agile Sensing and Intelligence Group (ASIG)

Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
Faculty of Science and Engineering
University of Groningen, The Netherlands

Contact: kailai.li[at]rug.nl

News
  • 2025-02: Qihao and Kailai contributed to a new system for immersive robot interaction. Check out IRIS here!
  • 2024-12: We have one PhD vacancy in collaborative intelligence for mobile robots. Check it out here and join us!
  • 2024-12: We now have a new group website!
  • 2024-11: We proposed Constraint Satisfaction Visual Grounder (CSVG) for 3D visual grounding. Check out our project website!
  • 2024-11: We contributed to the development of GPTR, a new framework for Gaussian process-based continuous-time motion estimation. Check out our paper and open-source code!

The Agile Sensing and Intelligence Group (ASIG), led by Kailai Li, is a research team based at the University of Groningen (RUG) in the Netherlands. We constantly look for strong candidates for PhD/postdoc/internship/thesis. Shoot us an email with a brief intro if you are interested, and we will start from this!

Research Highlights
* indicates equal contribution.

IRIS: An Immersive Robot Interaction System
Xinkai Jiang, Qihao Yuan, Enes Ulas Dincer, Hongyi Zhou, Ge Li, Xueyin Li, Julius Haag, Nicolas Schreiber, Kailai Li, Gerhard Neumann, Rudolf Lioutikov
arXiv preprint, arXiv:2502.03297, 2025

Solving 3D Visual Grounding as Constraint Satisfaction Problems
Qihao Yuan, Jiaming Zhang*, Kailai Li*, Rainer Stiefelhagen
arXiv preprint, arXiv:2411.14594, 2024

GPTR: Gaussian Process Trajectory Representation for Continuous-Time Motion Estimation
Thien-Minh Nguyen, Ziyu Cao, Kailai Li, Shenghai Yuan, Lihua Xie
arXiv preprint, arXiv:2410.22931, 2024

On Embedding B-Splines in Recursive State Estimation
Kailai Li
arXiv preprint, arXiv:2307.00637, 2023

Continuous-Time Ultra-Wideband-Inertial Fusion
Kailai Li, Ziyu Cao, Uwe D Hanebeck
IEEE Robotics and Automation Letters, vol. 8, no. 7, pp. 4338-4345, July 2023
arXiv / Code / Video

Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping
Kailai Li, Meng Li, Uwe D. Hanebeck
IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 5167-5174, July 2021
arXiv / Paper / Code / Video

Highly Parallelizable Plane Extraction for Organized Point Clouds Using Spherical Convex Hulls
Hannes Möls, Kailai Li, Uwe D. Hanebeck
Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France
© 2024 Kailai Li, Qihao Yuan. All rights reserved. Using, copying, and redistributing the code in any form can be performed only under permission.