Motion Planning at UC Riverside

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]

A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Character Control
Pei Xu and Ioannis Karamouzas
PACMCGIT, 4(3),(Proc of ACM SIGGRAPH/Eurographics Symposium on Computer Animation), 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]