Liuhao Wu

National University of Singapore

Papers

1

Total Citations

4

H-Index

1

About

Liuhao Wu is a pioneering researcher in the field of ultrasound-based 3D vision systems for robotics, with a primary focus on low-power, compact, and all-weather sensing technologies. His major contribution is the development of a groundbreaking 64-channel ultrasound ASIC fabricated in 180nm standard CMOS, which enables metamorphic robotic 3D vision with an impressive 7-meter object detection range. This system achieves remarkable efficiency at just 4.3mW per channel, while maintaining a small form factor of 5×5×5 cm³ and a lightweight design of only 100 grams. Wu's innovative Universal Energy Recycling TX (UERTX) driver architecture represents a significant advancement in power management for ultrasonic sensing. His work addresses critical challenges in robotic perception, particularly for applications requiring robust performance in adverse weather conditions where optical sensors typically fail. With his most-cited paper accumulating 4 citations, Wu's research is gaining recognition for its practical implications in autonomous systems and robotics. His contributions are particularly valuable for developing metamorphic robots that can adapt their shape and sensing capabilities to different environments, making his work foundational for next-generation all-weather robotic vision systems.

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
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