Skip to content
View RightTr's full-sized avatar
😵‍💫
😵‍💫

Highlights

  • Pro

Block or report RightTr

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
RightTr/README.md

Hi, Tianhao Zhou here👋

Robotics 🤖, SLAMer

I'm pursuing a 🎓 B.Eng. degree in Robotics Engineering at Wuhan University, with an expected graduation date in 2027. My research interests include Simultaneous Localization and Mapping (SLAM) 🗺️, 3D Computer Vision 👁️ and Multi-modal Sensor Fusion 📡. If you are interested in my research, feel free to contact me.

My work mainly focuses on multisensor fusion for localization and mapping. My current research interests include large-scale, globally consistent mapping for building inspection and robotic exploration in challenging and adverse environments.
Animated SLAM card

Contact

   

Education

🏫 Wuhan University

  • 🎓 B.Eng. in Robotics Engineering 🤖 | 2023-Present | Wuhan, Hubei, China

Research Experience

🛰️ LIESMARS, Wuhan University

  • 2024.9-Present | Wuhan, Hubei, China
  • Research Advisor: Dr. Jianzhu Huai
  • Research on robot exploration 🤖 and multisensor fusion for localization and mapping 🌍 in challenging environments.

💻 State Key Lab of CAD&CG, Zhejiang University

  • 2026.7-Present | Hangzhou, Zhejiang, China

Skills

  • 💻 Programming Languages

  

  • 🛠️ Tools and Frameworks

      

  • 🔧 Hardware & Embedded Systems

   

  • 📝 Documentation & Writing

  

Pinned Loading

  1. FAST-LIO-SAM FAST-LIO-SAM Public

    A LiDAR-inertial SLAM system that integrates FAST-LIO2 with a LIO-SAM-style factor graph backend, enhanced by hierarchical scene representation and ground-normal constraints, and compatible with bo…

    C++ 47 6