Tuong Phuoc Tho
Papers
13
Total Citations
211
H-Index
7
About
Tuong Phuoc Tho is a robotics researcher whose work spans construction automation, service robotics, and intelligent control systems. His most impactful contributions lie in cable-driven parallel robots (CDPRs) for large-scale 3D concrete printing, where his 2021 paper has garnered 75 citations, demonstrating significant interest in applying CDPRs to rapid building construction. He has also made notable advances in pipe-cleaning and inspection robots for non-man-entry sewers (36 citations), addressing critical infrastructure maintenance challenges. Tho’s research further explores workspace analysis, cable tension distribution, and cable sagging in CDPRs, with a 2022 overview paper accumulating 30 citations. He has developed adaptive fuzzy sliding mode controllers and neuro-fuzzy systems (ANFIS) for solving inverse kinematics in delta robots and autonomous navigation. His work extends to educational robotics, including the use of AI-powered robots in second language classes. With over 200 total citations across his publications, Tho’s research is characterized by practical, application-driven solutions that bridge theoretical robotics with real-world construction, inspection, and automation challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2A study of pipe-cleaning and inspection robot36 citations · 2011
- 3
- 4Design and development of the sorting system based on robot17 citations · 2015
- 5Design of Adaptive Fuzzy Sliding Mode Controller for Mobile Robot12 citations · 2021
- 6
- 7Solving inverse kinematics of delta robot using ANFIS8 citations · 2015
- 8
- 9Adaptive Fuzzy Control for Autonomous Robot under Complex Environment4 citations · 2021
- 10Analysis and Evaluation of CDPR Cable Sagging Based on ANFIS4 citations · 2021