Papers
7
Total Citations
92
H-Index
5
About
Jin Xiao is a robotics researcher whose work spans the critical intersection of autonomous navigation, multi-robot coordination, and intelligent control systems. His research addresses fundamental challenges in how robots perceive, navigate, and interact with their environments, from wheeled mobile robots to UAVs. Xiao's most impactful contribution is his comprehensive survey on visual navigation (2022, 47 citations), which traces the evolution from geometric approaches to modern embodied AI—a seminal resource for researchers entering this rapidly advancing field. His technical innovations include a novel trajectory tracking control method for wheeled mobile robots (2017, 23 citations) that uses sliding mode disturbance observers to handle unknown skidding and slipping, significantly improving real-world robustness. Xiao has also advanced multi-robot formation control through an improved leader-following algorithm (2019) and developed the Transformer-based Visual Exploration Network (TVENet, 2022), which enables mobile robots to actively explore unknown 3D environments using only camera input. His work on route planning combines ant colony optimization with Dubins paths for UAVs, while his Kalman filter-based positioning method for robot soccer demonstrates practical applications in competitive robotics. With over 90 total citations, Xiao's research continues to push boundaries in autonomous navigation and robot intelligence.
Research Focus
Key Achievements
Top Papers
- 1A survey of visual navigation: From geometry to embodied AI47 citations · 2022
- 2
- 3Positioning method for robot soccer based on Kalman filter6 citations · 2017
- 4
- 5Route planning of mixed ant colony algorithm based on Dubins path5 citations · 2021
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- 7