Yung Chuen Ng
Papers
2
Total Citations
4
H-Index
2
About
Yung Chuen Ng is a robotics researcher specializing in terrain perception and safe locomotion for legged robots. His work bridges the gap between physical robotics and digital simulation, with a focus on enhancing robot autonomy in unpredictable environments. Ng’s major contributions center on the development of a real-time digital double framework—a novel approach that synchronizes a simulated model with a physical robot to predict and respond to collapsible terrains. This framework allows legged robots to anticipate ground instability, such as loose soil or fragile surfaces, before committing to a step, thereby preventing falls and improving operational safety. His most-cited papers, including “Real-time Digital Double Framework to Predict Collapsible Terrains for Legged Robots” (2022) and “Real-time terrain anomaly perception for safe robot locomotion using a digital double framework” (2023), each have garnered 2 citations, reflecting early but promising impact in the field. Ng’s work is notable for its practical application of digital twinning concepts to real-world robotics challenges, offering a scalable solution for disaster response, exploration, and industrial inspection. His research stands out for its integration of physical modeling with real-time control, paving the way for more resilient and perceptive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2