Papers

4

Total Citations

37

H-Index

3

About

Boo Cheong Khoo is a leading researcher in the fields of neurorobotics, assistive robotics, and bio-inspired robotic locomotion. His work focuses on reducing the cognitive burden of human-machine interfaces for prosthetic control, advancing autonomous navigation for legged robots, and improving the efficiency of flapping-wing aerial vehicles. Khoo’s most cited paper (2020, 27 citations) introduces a multimodal intention detection sensor suite for shared autonomy in upper-limb prostheses, addressing the critical challenge of excessive cognitive load during grasp control. He has also made significant contributions to quadruped robot navigation, developing a vision-based path planning and motion control system that integrates Model Predictive Control and Whole-Body Control for rough terrain traversal (2024, 5 citations). In the domain of bio-inspired robotics, Khoo has explored the mechanics of hovering ornithopters, analyzing spring and power dynamics to enhance endurance in larger flapping-wing robots (2024, 3 citations). Additionally, his work on subject-independent data pooling for gait intent classification using mechanomyography (2018, 2 citations) has advanced active lower-limb prosthetic control. Khoo’s interdisciplinary research bridges robotics, biomechanics, and control systems, with a clear impact on both assistive technologies and autonomous robotic platforms.

Research Focus

Key Achievements

3
H-Index
4
Papers
37
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A Multimodal Intention Detection Sensor Suite for Shared Autonomy of Upper-Limb Robotic Prostheses
27 citations · 2020
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: National University of Singapore, Temasek Life Sciences Laboratory

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago