Shaoze You

About

Shaoze You is a leading researcher in robotics, specializing in localization, navigation, and autonomous systems for extreme underground environments. His work focuses on developing robust simultaneous localization and mapping (SLAM) and positioning technologies for coal mine rescue and inspection robots, addressing the unique challenges of confined, low-illumination, and post-disaster settings. You’s major contributions include pioneering ultra-wideband (UWB)-based localization systems aided by inertial sensors for underground coal mine applications, a method that has garnered 148 citations for its effectiveness in enabling precise robot positioning where GPS fails. He has also advanced visual-inertial SLAM from both filtering and optimization perspectives, with 122 citations, and developed efficient 3D laser-based SLAM for rescue robots, achieving real-time performance in complex laneways. His notable work includes comprehensive reviews of visual trackers and their application to mobile robots, as well as practical designs for drilling robot tracking systems in low-illumination environments. With over 400 total citations across his top papers, You’s research has significantly improved the reliability and autonomy of robots operating in hazardous coal mines, directly impacting disaster response and industrial safety.

Research Focus

Key Achievements

Top Papers

1. 1
   UWB-Based Localization System Aided With Inertial Sensor for Underground Coal Mine Applications

   148 citations · 2020
2. 2
   A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives

   122 citations · 2018
3. 3
   Efficient Laser-Based 3D SLAM for Coal Mine Rescue Robots

   60 citations · 2018
4. 4
   Development and applications of rescue robots for explosion accidents in coal mines

   38 citations · 2019
5. 5
   Tracking System for a Coal Mine Drilling Robot for Low-Illumination Environments

   9 citations · 2022
6. 6
   Efficient Laser-Based 3D SLAM in Real Time for Coal Mine Rescue Robots

   8 citations · 2018
7. 7
   A Review of Visual Trackers and Analysis of its Application to Mobile Robot

   8 citations · 2019
8. 8
   IMU-Aided Ultra-wideband Based Localization for Coal Mine Robots

   6 citations · 2019
9. 9
   Coal Mine Rescue Robots: Development, Applications and Lessons Learned

   4 citations · 2022
10. 10
    The Design of Inspection Robot Navigation Systems Based on Distributed Vision

    3 citations · 2019

Key Collaborators

Contact & Links