Shangsheng Wen
Papers
8
Total Citations
287
H-Index
6
About
Shangsheng Wen is a prominent researcher specializing in indoor localization, visible light positioning (VLP), and autonomous robot navigation. His work sits at the intersection of optical wireless communication and robotics, where he has made significant contributions to developing precise, cost-effective indoor positioning systems that leverage existing LED lighting infrastructure. Wen's most impactful contribution — his 2020 paper on robot indoor localization using VLP within the Robot Operating System framework — has garnered 120 citations, establishing him as a leading voice in the field. He has consistently advanced the state of the art by integrating VLP with complementary technologies such as SLAM, LiDAR, wheel odometry, and RGB-D cameras, producing hybrid systems that overcome the limitations of line-of-sight dependency and sparse LED deployments. His 2021 work on VLP-SLAM fusion (63 citations) and multi-robot cooperative localization (29 citations) further demonstrate his ability to scale solutions to complex, real-world robotic environments. Across his body of work, Wen has achieved remarkable positioning accuracies as fine as 2.5 cm, underscoring the practical viability of his approaches. With over 280 cumulative citations, his research has meaningfully shaped modern indoor robotics and optical localization technology.
Research Focus
Key Achievements
Top Papers
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- 5Single LED positioning scheme based on angle sensors in robotics20 citations · 2021
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