Yizhi Zhou

Yizhi Zhou

Ph.D. Student in Robotics, George Mason University

Posts by Collection

portfolio

publications

talks

D3G: Learning multi-robot coordination from demonstrations

Published:

In this talk, I present D3G, a novel framework for learning multi-robot coordination from demonstrations. The approach leverages imitation learning to enable groups of robots to perform complex collaborative tasks efficiently and robustly. I discuss the key challenges in multi-robot coordination, our proposed solution, experimental results on real-world robotic platforms, and future directions for scalable autonomous systems.

Consistent Cooperative Visual-Inertial Navigation based on Matrix Lie Group

Published:

In this talk, I introduce a consistent cooperative visual-inertial navigation framework based on Matrix Lie Group theory. The proposed approach enables multiple agents to achieve accurate and robust state estimation by fusing visual and inertial measurements in a cooperative manner. I discuss the theoretical foundations, algorithmic design, and experimental validation on real-world robotic platforms, highlighting improvements in consistency and scalability for multi-agent navigation.

teaching

GMU EE530 Senior Design Project (Fall 2024)

Undergraduate course, ECE Department, George Mason University, 1900

As part of my teaching experience, I supervised undergraduate students in the GMU EE530 Senior Design Project, guiding them through the process of developing and completing their graduation projects. My role included providing technical mentorship, project management advice, and support in solving engineering challenges.