Papers
14
Total Citations
253
H-Index
8
About
Cheng Siong Chin is a prominent researcher specializing in underwater robotics, autonomous systems, and control engineering, with particular expertise in remotely operated vehicles (ROVs) and advanced control methodologies. His most significant contribution lies in developing robust control frameworks for highly nonlinear and uncertain underwater systems — most notably his 2018 work integrating genetic algorithms and fuzzy inference mechanisms within sliding-mode controllers for ROVs, which has garnered 82 citations and represents a landmark achievement in intelligent underwater vehicle control. His foundational software toolbox for ROV dynamic modelling and simulation, developed as early as 2006, established essential infrastructure for the research community, while his work on decoupled cascaded control systems advanced simultaneous stabilization and pipeline tracking capabilities for underwater vehicles. Beyond marine robotics, Chin has demonstrated impressive breadth, contributing a widely-used textbook on computer-aided control systems design using MATLAB and Simulink, exploring agricultural robotics through a survey on mushroom harvesting systems, and innovating in engineering education through problem-based learning methodologies. With research spanning nearly two decades and累积 citations reflecting sustained impact, Chin stands as a versatile and influential figure bridging theoretical control design and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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- 3Software for modelling and simulation of a Remotely-Operated Vehicle (ROV)26 citations · 2006
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- 7Computer-Aided Control Systems Design14 citations · 2013
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- 9Survey of Mushroom Harvesting Agricultural Robots and Systems Design8 citations · 2024
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