Papers
7
Total Citations
131
H-Index
5
About
Lifan Sun is a leading researcher in autonomous mobile robotics, specializing in robust positioning, cooperative localization, and intelligent path planning. Their most impactful work, "An Approach to Robust INS/UWB Integrated Positioning for Autonomous Indoor Mobile Robots" (69 citations), addresses the critical challenge of anti-interference in indoor environments by fusing inertial navigation systems with ultra-wideband technology, significantly enhancing robot autonomy. Sun further advanced multi-robot systems with "Multi-Robot Cooperative Localization with Range-Only Measurement By UWB" (11 citations), introducing a framework that improves positioning accuracy in wireless sensor networks. In path planning, Sun's "Path planning for mobile robot using an enhanced ant colony optimization and path geometric optimization" (27 citations) presents a hybrid EACSPGO algorithm that combines ant colony optimization with geometric local optimization, effectively navigating complex environments. More recently, Sun tackled computational efficiency in "Path Planning Algorithm Based on Obstacle Clustering Analysis and Graph Search" (6 citations, 2023), reducing redundant nodes in large-scale maps. With a growing portfolio spanning visual object tracking and smooth RRT-based planning, Sun’s work—totaling over 130 citations—provides foundational solutions for reliable, efficient mobile robot navigation in real-world settings.
Research Focus
Key Achievements
Top Papers
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- 3Multi-Robot Cooperative Localization with Range-Only Measurement By UWB11 citations · 2018
- 4Hybrid cooperative localization based on robot-sensor networks10 citations · 2021
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