Yi-Sheng Chen
Papers
2
Total Citations
5
H-Index
2
About
Yi-Sheng Chen is a robotics researcher whose work focuses on autonomous navigation and intelligent inspection in complex, real-world environments. His primary research areas include path planning for construction robots and automated meter reading for industrial inspection systems. Chen’s major contribution is the development of an improved A* algorithm for global path planning on uneven terrain at construction sites, addressing critical challenges such as prolonged computation times and low efficiency in unstructured environments. This work, published in 2025, has already garnered 3 citations, signaling its emerging impact. Additionally, Chen pioneered a deep learning method for pointer meter reading recognition in refrigeration stations, tackling low detection accuracy in automated inspection robots. This 2024 study, with 2 citations, enhances intelligent operation and maintenance in large public buildings. Chen’s research bridges the gap between theoretical robotics and practical deployment in demanding settings—from rugged construction sites to precision-demanding refrigeration stations. His work is particularly notable for its direct applicability to industry, promising to make construction and facility management safer, faster, and more autonomous.
Research Focus
Key Achievements
Top Papers
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- 2