Papers
7
Total Citations
1,140
H-Index
5
About
Minhao Yang is a leading innovator in neuromorphic vision sensing and robotics, best known for pioneering event-based dynamic vision sensors (DVS) that mimic biological retinas. His landmark 2014 paper, "A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor," has garnered over 1,049 citations, establishing a foundation for high-speed, low-latency visual processing in robotics and real-time tracking. Yang’s work addresses a critical limitation of traditional DVS—the loss of absolute intensity information—by designing the color dynamic and active-pixel vision sensor (C-DAVIS), which integrates monochrome event pixels with RGBW color filter arrays for richer robotic perception. His contributions extend to bio-inspired optical motion sensors achieving 1 kHz visual motion detection, enabling miniature aerial and ground robots to navigate with unprecedented speed and efficiency. Beyond sensing, Yang has developed servo motor controllers and FPGA-based systems for robotic manipulators and wheeled robots, bridging hardware and AI. His recent exploration of AI-driven smart agriculture underscores a commitment to translating neuromorphic vision into real-world impact, from home security to precision farming. With over 1,100 total citations, Yang’s research continues to shape the frontier of intelligent, biologically inspired machines.
Research Focus
Key Achievements
Top Papers
- 1A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor1,049 citations · 2014
- 2
- 3Servo motor controller design for robotic manipulator20 citations · 2012
- 4
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- 6Design of the wheeled robot motor controller2 citations · 2012
- 7