Motion Planning at Clemson University

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

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]

Motor Babble: Morphology-Driven Coordinated Control of Articulated Characters
Avinash Ranganath, Avishek Biswas, Ioannis Karamouzas, and Victor B. Zordan
In ACM SIGGRAPH Conference on Motion, Interaction and Games (MIG 2021), 2021.
[pdf] [project]

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]

PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network
Pei Xu and Ioannis Karamouzas
In ACM SIGGRAPH Conference on Motion, Interaction and Games (MIG 2021), 2021.
Also in NeurIPS 2021 Deep Reinforcement Learning workshop.
[pdf] [project] [code]

DIGISEW: Anisotropic Stitching for Variable Stretch in Textiles
Abhinit Sati, Ioannis Karamouzas, and Victor B. Zordan
In Symposium on Computational Fabrication (SCF '21), 2021.

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]


Sponsors

We would like to thank Amazon, Clemson University, and the National Science Foundation for supporting our research.

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