Chne-Wuen Tsai

National University of Singapore

Papers

1

Total Citations

4

H-Index

1

About

Chne-Wuen Tsai is a pioneering researcher in the field of low-power, high-efficiency ultrasound systems for robotic perception and 3D vision. His key research areas include mixed-signal integrated circuit design, energy-efficient ultrasound transceivers, and metamorphic robotic sensing systems. Tsai’s most notable contribution is the development of a 64-channel ultrasound ASIC fabricated in 180nm standard CMOS, which achieves a remarkable 7-meter object detection range while consuming only 4.3mW per channel. This work introduces the Universal Energy Recycling TX (UERTX) driver, a novel architecture that significantly reduces power consumption by recycling energy during transmission. The complete system is compact (5×5×5 cm³), lightweight (100g), and designed for all-weather operation, making it ideal for metamorphic robots that adapt their shape for diverse environments. With 4 citations, this paper represents a foundational step toward practical, low-power robotic vision systems. Tsai’s work bridges the gap between advanced IC design and real-world robotic applications, offering a path toward energy-autonomous, vision-capable robots for search-and-rescue, industrial inspection, and autonomous navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A 7m-range, 4.3mW/Ch. Ultrasound ASIC with Universal Energy Recycling TX for All-Weather Metamorphic Robotic 3D Vision System
4 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: National University of Singapore

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago