Shenghao Tong
Papers
3
Total Citations
23
H-Index
3
About
Shenghao Tong is a leading researcher in construction robotics, specializing in autonomous systems for building and infrastructure tasks. His work focuses on developing intelligent robotic solutions to reduce labor intensity and improve safety on construction sites. Tong’s most impactful contribution is the experimental and theoretical analysis of a truss construction robot capable of automatically grasping and hoisting concrete composite floor slabs, a study that has garnered 16 citations and demonstrates a novel control strategy for precise positioning. He has also advanced fault detection in harmonic reducers—critical components for construction robot reliability—using adaptive state observers, and improved mobile robot navigation through an enhanced A* algorithm that optimizes path safety and smoothness. With a total of over 20 citations across his key publications, Tong’s research bridges robotics, control theory, and practical construction engineering. His notable achievements include developing integrated solutions for automated masonry and slab handling, positioning him as a key innovator in the emerging field of construction automation. His work is essential reading for researchers and students interested in the future of robotics in civil engineering.
Research Focus
Key Achievements
Top Papers
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- 3Improved A* Algorithm Based Path Planning for Mobile Robots3 citations · 2022