Motion Planning at UC Riverside

Cutting-edge research in robotics, computer graphics, and AI




crowd
Crowd Simulation
man
Multiagent Navigation
cnav
Collision Avoidance
control
Character Control
gaits
Motion Synthesis
tree
Path Planning

Recent Projects

Learning to Ball: Composing Policies for Long-Horizon Basketball Moves
Pei Xu, Zhen Wu, Ruocheng Wang, Vishnu Sarukkai, Kayvon Fatahalian, Ioannis Karamouzas, Victor Zordan, and C. Karen Liu
ACM Transactions on Graphics, (SIGGRAPH Asia), 2025.
[pdf] [code]

A Study in Zucker: Insights on Interactions Between Humans and Small Service Robots
Alex Day Xu and Ioannis Karamouzas
IEEE Robotics and Automation Letters 9(3), 2024.
Also in IEEE ICRA@40 , 2024.
[pdf] [project]

AdaptNet: Policy Adaptation for Physics-Based Character Control
Pei Xu, Kaixiang Xie, Sheldon Andrews, Paul G. Kry, Michael Neff, Morgan McGuire, Ioannis Karamouzas, and Victor Zordan
ACM Transactions on Graphics, 42(6),(SIGGRAPH Asia), 2024.
[pdf] [project] [code]

Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
Pei Xu, Jean-Bernard Hayet, and Ioannis Karamouzas
IEEE Robotics and Automation Letters, 8(9), 2023.
Also in IEEE International Conference on Robotics and Automation , 2024.
[pdf] [project] [code]

Composite Motion Learning with Task Control
Pei Xu, Xiumin Shang, Victor Zordan, and Ioannis Karamouzas
ACM Transactions on Graphics, 42(4),(SIGGRAPH), 2023.
[pdf] [project] [code]

SocialVAE: Human Trajectory Prediction using Timewise Latents
Pei Xu, Jean-Bernard Hayet, and Ioannis Karamouzas
In the 17th European Conference on Computer Vision (ECCV 2022), 2022.
[pdf] [project] [code]

Human-Inspired Multi-Agent Navigation using Knowledge Distillation
Pei Xu and Ioannis Karamouzas
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), 2021.
[pdf] [project] [code]

NH-TTC: A gradient-based framework for generalized anticipatory collision avoidance,
Bobby Davis, Ioannis Karamouzas, and Stephen J. Guy,
In Robotics: Science and Systems (RSS 2020), 2020.
[pdf] [project] [code]


Prospective Students

We welcome motivated students who are excited about robotics, computer graphics, and embodied AI. If you are interested in joining the Motion Planning Lab 🤖 as a Ph.D. student, consider applying to the UCR's Ph.D. program in CS and mention Prof. Ioannis Karamouzas as a potential advisor.

If you would like to reach out, please read David Evans advice on how to contact professors about graduate school. Thoughtful, personalized emails are always appreciated.


Sponsors

We would like to thank Amazon, the National Science Foundation, Roblox, and University of California, Riverside for supporting our research.

Web Analytics