Benny Kai Kiat Ng
Papers
4
Total Citations
60
H-Index
3
About
Benny Kai Kiat Ng is a researcher advancing the frontiers of autonomous robotics, with a core focus on relative localization and odometry for mobile systems. His work addresses a critical challenge: enabling robots to navigate and coordinate in GPS-denied or infrastructure-poor environments, such as disaster zones. Ng’s most significant contribution is his pioneering use of multiple Ultra-WideBand (UWB) ranging measurements for relative localization between robots, a method that eliminates the need for external infrastructure. This work, published in 2021, has garnered over 40 citations, underscoring its impact on the field. He has further refined this approach by developing neural network techniques to mitigate and compensate for Non-Line-of-Sight (NLOS) UWB ranging errors, a persistent problem in real-world deployments. Expanding beyond UWB, Ng has also introduced WiFi Similarity-Based Odometry, a novel method that extends localization capabilities to non-wheeled platforms, overcoming a key limitation of traditional encoder-based odometry. Through these innovations, Benny Kai Kiat Ng is not only solving fundamental problems in robot navigation but also paving the way for more resilient and versatile autonomous systems in critical applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3WiFi Similarity-Based Odometry8 citations · 2023
- 4