Choon Yue Wong
Papers
9
Total Citations
115
H-Index
5
About
Choon Yue Wong is a pioneering researcher in human-robot interaction, specializing in single-human supervision of multiple-robot systems for critical applications like urban search and rescue (USAR) and infrastructure inspection. His work addresses the fundamental challenge of enabling one operator to effectively manage multiple autonomous robots without suffering overwhelming cognitive workload or losing situation awareness. Wong’s most influential paper, “Workload, awareness and automation in multiple-robot supervision” (34 citations), systematically examines how automation can alleviate human cognitive burden while maintaining supervisory control. He has also made significant contributions to practical robotics, including designing a tunnel inspection robot for Singapore’s Deep Tunnel Sewerage System (23 citations) and developing a bin-picking benchmark for robotic-assisted food handling (17 citations). His research on hierarchically structured collectives of coordinating mobile robots demonstrates how autonomous coordination can preserve operator awareness while reducing workload. Wong’s work bridges the gap between theoretical human-robot interaction frameworks and real-world deployment challenges, with applications spanning disaster response, infrastructure maintenance, and industrial automation. His contributions are particularly valuable for students and researchers interested in multi-robot systems, human factors engineering, and the practical integration of autonomous robots into safety-critical environments.
Research Focus
Key Achievements
Top Papers
- 1Workload, awareness and automation in multiple-robot supervision34 citations · 2017
- 2Design of Tunnel Inspection Robot for Large Diameter Sewers23 citations · 2018
- 3Multiple-Robot Systems for USAR: Key Design Attributes and Deployment Issues22 citations · 2011
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- 8An expert system for real-time control of the SIR-3 robotic system3 citations · 1991
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