About me

Hi there ๐Ÿ‘‹

I am Yizhi Zhou, a Ph.D. student 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 the intersection of robotics, SLAM, multi-sensor fusion, and reinforcement learning, with applications in autonomous perception, navigation, and control.

๐Ÿ”ฌ I work on:

  • Multi-sensor calibration and fusion (IMU, camera, LiDAR, UWB)
  • Cooperative and consistent multi-robot SLAM and visual-inertial odometry system
  • NeRF / 3D Gaussian Splattingโ€“aided SLAM
  • Multi-robot control, coordination, reinforcement learning
  • Whole-body control and loco-manipulation

๐ŸŽ“ Previously, I received my M.S. in Electrical and Computer Engineering at UC Riverside (UCR), advised by Prof. Wei Ren, where I focused on sensor fusion and drone localization.
I have also gained research and industry experience at Rawmantic AI, where I worked on multi-sensor fusion and Gaussian Splatting SLAM system.

๐Ÿš€ My goal is to advance autonomous robotic systems by developing robust, consistent, and scalable localization, perception, and control algorithms for real-world applications.


๐Ÿ“– Google Scholar
๐Ÿ“ซ Email: yzhou26@gmu.edu