Miaolin Zhang
Papers
2
Total Citations
13
H-Index
2
About
Miaolin Zhang is pioneering the field of all-weather robotic vision, developing ultrasound-based ASICs that overcome the limitations of traditional camera systems. Her core research focuses on low-power, compact, and robust 3D non-visual navigation for metamorphic robots—machines that can change shape to adapt to their environment. Zhang’s major contribution is the design of a 64-channel ultrasound ASIC with a novel Universal Energy Recycling TX (UERTX) driver, which enables object detection at ranges beyond 7 meters while consuming only 4.3 mW per channel. This breakthrough allows robots to navigate reliably in rain, fog, or darkness, where conventional cameras fail. Her most cited work (2022, 9 citations) demonstrates a complete system that is lightweight (100g) and small-form-factor (5×5×5 cm³), making it ideal for drones and field robots. Zhang’s innovations directly address the critical need for low-cost, all-weather perception in autonomous systems, and her energy-recycling architecture sets a new standard for power efficiency in ultrasonic sensing. Her work is shaping the next generation of resilient robotic vision.
Research Focus
Key Achievements
Top Papers
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- 2