Papers
3
Total Citations
21
H-Index
3
About
Kam Pheng Ng is a robotics researcher whose work focuses on human-robot interaction, autonomous navigation, and simulation platforms for service and industrial applications. A key contribution is his novel approach to human tracking and following in dynamic environments, using a 2D laser scanner for robust detection—a method that has garnered 10 citations and significant relevance for day-to-day robot service tasks. Ng also pioneered early voice-controlled robotics with a neural network-based speech-activated robot arm controller (6 citations), demonstrating how natural language interfaces can enhance robot accessibility. In the realm of industrial robotics, he developed a simulator platform for the Robot Application Development and Operating Environment (RADOE), integrating Gazebo and Rviz interfaces to streamline robot modeling and testing (5 citations). His work bridges practical service robotics with advanced simulation tools, offering scalable solutions for real-world deployment. Ng’s research continues to influence the development of responsive, user-friendly robots that can safely operate alongside humans.
Research Focus
Key Achievements
Top Papers
- 1Human tracking and following in dynamic environment for service robots10 citations · 2017
- 2A voice controlled robot using neural network6 citations · 2002
- 3A robotics simulator platform for RADOE5 citations · 2016