Papers
3
Total Citations
60
H-Index
2
About
Wenpeng Fu is a robotics researcher whose work focuses on cost-effective and robust solutions for mobile robot perception and localization. His primary research areas include sensor fusion, environment mapping, and dynamic object identification, with a particular emphasis on integrating low-cost 2-D LiDARs with complementary technologies like UWB and RFID. Fu’s most impactful contribution is a cost-effective mapping method that fuses UWB with short-range 2-D LiDAR, achieving 42 citations for its practical approach to industrial navigation. He also developed a method for identifying and localizing multiple dynamic objects using laser and RFID, cited 16 times, which addresses the computational expense and robustness issues of visual-based systems. Additionally, Fu has explored improving robot positioning accuracy through particle filter techniques. His work is notable for bridging the gap between high-cost, high-accuracy systems and affordable, deployable alternatives, making advanced robotics more accessible for real-world industrial applications.
Research Focus
Key Achievements
Top Papers
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