Yizhi Zhou is a Ph.D. student in the Department of Electrical and Computer Engineering at George Mason University (GMU). He began his visit to the Spatial AI and Robotics (SAIR) Lab in April 2025. His research interests include SLAM, state estimation, multi-robot systems, and control systems.
Experience
- Visiting Student
- SAIR Lab, University at Buffalo (UB), USA
- Apr. 2025 - Present
Education
- Ph.D. in Electrical and Computer Engineering
- George Mason Unversity, USA
- Aug. 2022 - Present
- Master of Science in Electrical and Computer Engineering
- UC Riverside, USA
- Sep. 2020 - Jun. 2022
- Bachelor of Electrical Engineering and Automation
- Hangzhou Dianzi University, China
- Sep. 2016 - Jul. 2020
Other Information
- Work Email: yzhou26@gmu.edu
Publications
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Toward a Telescopic Steerable Robotic Needle for Minimally Invasive Tissue Biopsy.IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 1989–1996, 2021.
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Distributed Invariant Extended Kalman Filter Using Lie Groups: Algorithm and Experiments.IEEE Transactions on Control Systems Technology, vol. 31, no. 6, pp. 2777–2789, 2023.
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D3G: Learning Multi-robot Coordination from Demonstrations.2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 8898–8904, 2024.
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Distributed Estimation for a 3-D Moving Target in Quaternion Space with Unknown Correlation.2024 IEEE Conference on Control Technology and Applications (CCTA), pp. 394–399, 2024.
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Distributed Multi-Robot Flocking Based on Acoustic Doppler Effect.2023 62nd IEEE Conference on Decision and Control (CDC), pp. 6406–6411, 2023.
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Tensor-based dynamic brain functional network for motor imagery classification.Biomedical Signal Processing and Control, vol. 69, p. 102940, 2021.