Cuebong Wong
Papers
16
Total Citations
416
H-Index
10
About
Cuebong Wong is a robotics researcher whose work spans autonomous systems, harsh environment robotics, and intelligent manufacturing automation. With a career arc stretching from early work in mobile robot perception to cutting-edge Industry 4.0 applications, Wong has established himself as a versatile and impactful figure in the field. His most influential contributions centre on robotics for challenging, unpredictable environments. His 2018 survey, "Autonomous Robots for Harsh Environments," has accumulated 110 citations and remains a landmark reference for researchers tackling dynamics, uncertainty, and complexity in real-world deployments. A companion 2017 overview garnered a further 67 citations, underscoring the sustained demand for his synthesising work in this space. Wong's research portfolio also extends into planetary rover navigation, human-robot interaction, and adaptive industrial robotics. His investigations into robotic task sequencing — including novel clustering algorithms and multi-arm coordination — demonstrate a commitment to solving computationally demanding, practical problems in manufacturing and composite material production. His 2019 case study on smart sensing in dynamic environments further highlights his interest in bridging autonomous reasoning with real industrial settings. Collectively, Wong's papers reflect a researcher dedicated to pushing robotics beyond controlled laboratory conditions into the messy, high-stakes environments where autonomous systems can make the greatest difference.
Research Focus
Key Achievements
Top Papers
- 1
- 2An overview of robotics and autonomous systems for harsh environments67 citations · 2017
- 3A mobile robot that recognizes people49 citations · 2002
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- 9Robotic Task Sequencing and Motion Coordination for Multiarm Systems14 citations · 2022
- 10