Papers

3

Total Citations

311

H-Index

3

About

Kian Ann Ng is at the forefront of bio-inspired electronics and robotic perception systems, pioneering technologies that bridge the gap between biological sensing and machine intelligence. His most influential work includes the development of a neuro-inspired artificial peripheral nervous system for scalable electronic skins, a breakthrough that has garnered 298 citations and promises to revolutionize prosthetics and humanoid robotics by replicating the human sense of touch. This research addresses a critical challenge in equipping intelligent machines with rapid, distributed somatosensory capabilities essential for dexterous interaction with the world. Ng has also made significant contributions to all-weather robotic vision, designing an ultrasound ASIC that enables compact, low-power 3D navigation over distances exceeding 7 meters. His innovative Universal Energy Recycling TX architecture achieves remarkable efficiency at just 4.3mW per channel, overcoming the limitations of traditional camera-based systems in adverse conditions. With a focus on creating practical, scalable solutions for metamorphic robotics, Ng's work demonstrates a rare combination of deep neural inspiration and cutting-edge circuit design, establishing him as a key innovator in next-generation sensory systems for autonomous machines.

Research Focus

Key Achievements

3
H-Index
3
Papers
311
Total Citations
104
Avg Citations/Paper
🏆 Most Cited Paper
A neuro-inspired artificial peripheral nervous system for scalable electronic skins
298 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: National University of Singapore, Singapore Institute of Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago