Yizhi Zhou
I am a PhD candidate in Electrical and Computer Engineering at George Mason University (GMU), advised by Prof. Xuan Wang. I also collaborate closely with Prof. Chen Wang at the University at Buffalo and Prof. Chuchu Chen at George Washington University.
My research focuses on robotics, SLAM, multi-sensor fusion, and reinforcement learning, with applications in autonomous perception, navigation, and control.
Previously, I received my M.S. in Electrical and Computer Engineering from UC Riverside, advised by Prof. Wei Ren, where I focused on sensor fusion and drone localization.
Email: yzhou26@gmu.edu
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Research
My research focuses on robotics, SLAM, multi-sensor fusion, and reinforcement learning, with applications in autonomous perception, navigation, and control.
- Multi-sensor calibration and fusion using IMU, camera, LiDAR, and UWB
- Cooperative and consistent multi-robot SLAM and visual-inertial odometry
- NeRF and 3D Gaussian Splatting–aided SLAM
- Multi-robot control, coordination, and reinforcement learning
- Whole-body control and loco-manipulation
My goal is to develop robust, consistent, and scalable localization, perception, and control algorithms for real-world autonomous robotic systems.
Work Experience
Amazon Robotics
Applied Scientist Intern · 2026.08 – Present
Robotic Assistant Inc.
AI and Robotics Intern · 2026.02 – Present
Publication
Distributed 3-D Multi-Robot Cooperative Localization: An Efficient and Consistent Approach
Yizhi Zhou, Y Liu, X Wang
IEEE Robotics and Automation Letters, 2026
Paper
Analysis of Optimization-Based Monocular Point-Plane VINS: Formulation, Information, and Marginalization
Yizhi Zhou, Xuan Wang, Chuchu Chen
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026)
Paper
Robust Online Calibration for UWB-Aided Visual-Inertial Navigation with Bias Correction
Yizhi Zhou, Jie Xu, Jiawei Xia, Zechen Hu, Weizi Li, Xuan Wang
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
Paper
CVIRO: A Consistent and Tightly-Coupled Visual-Inertial-Ranging Odometry on Lie Groups
Yizhi Zhou, Ziwei Kang, Jiawei Xia, Xuan Wang
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
Paper
Consistent Cooperative Visual-Inertial Navigation based on Matrix Lie Group
Yizhi Zhou, Xuan Wang
American Control Conference (ACC 2025)
Paper
D3G: Learning Multi-Robot Coordination from Demonstrations
Yizhi Zhou, W Jin, X Wang
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)
Paper
Distributed Estimation for a 3-D Moving Target in Quaternion Space with Unknown Correlation
Yizhi Zhou, Y Liu, X Wang
IEEE Conference on Control Technology and Applications (CCTA), 2024
Paper
Distributed Multi-Robot Flocking Based on Acoustic Doppler Effect
Yizhi Zhou, C Nowzari, X Wang
IEEE Conference on Decision and Control (CDC), 2023
Paper
Distributed Invariant Extended Kalman Filter Using Lie Groups: Algorithm and Experiments
J Xu, P Zhu, Yizhi Zhou, W Ren
IEEE Transactions on Control Systems Technology, 2023
Paper
Implementation of a Distributed Kalman Filter for 3-D Moving Object Tracking by Using IMU/UWB
Yizhi Zhou
University of California, Riverside, 2022
Thesis
Toward a Telescopic Steerable Robotic Needle for Minimally Invasive Tissue Biopsy
B Qi, Z Yu, Z K. Varnamkhasti, Yizhi Zhou, J Sheng
IEEE Robotics and Automation Letters, 2021
Paper