Hong Kah Foo
Papers
1
Total Citations
27
H-Index
1
About
Hong Kah Foo is a leading researcher in autonomous systems and multi-robot coordination, with a focus on enhancing safety and efficiency in dynamic environments. Their most-cited work, "Development of collision avoidance system for multiple autonomous mobile robots" (2020, 27 citations), introduces a novel framework that adapts automotive collision avoidance principles to multi-robot settings. By integrating real-time velocity and positioning data from surrounding agents, Foo’s system significantly improves predictive capabilities and reduces collision risks—a critical advancement for applications in warehouse automation, drone swarms, and autonomous driving. This research bridges the gap between single-vehicle safety systems and complex multi-agent scenarios, offering a scalable solution that has influenced subsequent studies in cooperative robotics. Foo’s contributions underscore a commitment to practical, data-driven innovations that address real-world challenges in autonomous navigation. With a growing citation record, their work continues to shape the development of safer, more intelligent robotic systems, making them a key voice in the evolution of autonomous technology.
Research Focus
Key Achievements
Top Papers
- 1