Qingbiao Li
User ID:ql295
Position:PhD Student
Homepage:https://qingbiaoli.github.io /
College:Hughes Hall
Overview and Interests

Research Focus

During my PhD, I focus on communication-aware motion planning for multi-robot coordination. I am effectively investigating Graph Neural Networks (GNN) to build communication channels for multi-agent and multi-robot systems so that agents/robots can learn how to communicate between each other explicitly. My research can be applied in mobility-on-demand, automated warehouse and smart cities.

Research Interest
Robot Learning, Multi-robot Path Planning, On-device Learning, Graph Neural Networks (GNNs), Imitation Learning, Reinforcement Learning and Computer Vision (Medical Imaging).