Papers
16
Total Citations
202
H-Index
8
About
Eng Gee Lim is a versatile researcher whose work spans the intersections of robotics, intelligent sensing, human-machine interaction, and autonomous systems. His research has made notable contributions across several cutting-edge domains, including neuromorphic computing, triboelectric tactile sensing, digital twin technology, and deep learning for robotic perception. Lim's most impactful work centers on next-generation sensing systems. His 2024 paper on neuromorphic computing-assisted triboelectric tactile sensors, already garnering 77 citations, demonstrates his leadership in developing biologically inspired interfaces capable of enabling wireless mixed reality interaction. Complementing this, his research on mechano-graded artificial mechanoreceptors advances self-adaptive robotic protection and human-robot interaction. In parallel, Lim has significantly shaped intelligent manufacturing research, contributing foundational work on digital twin systems integrating ROS and Unity 3D for real-time robotic monitoring and control. His broader portfolio reflects remarkable range — from multi-robot disaster rescue coordination and autonomous last-mile delivery vehicles, to 4D mmWave radar-based natural language comprehension for embodied AI. With over 180 cumulative citations across a decade of research, Lim has established himself as a dynamic contributor to the robotics and smart systems community, consistently bridging theoretical innovation with practical, real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Design of an arduino-based smart car17 citations · 2014
- 4
- 5
- 6
- 7Cooperation of multi robots for disaster rescue11 citations · 2017
- 8An Autonomous Vehicle Platform for Parcel Delivery8 citations · 2023
- 9
- 10