Weize Zhang
Papers
7
Total Citations
105
H-Index
5
About
Weize Zhang is a researcher specializing in robotic micromanipulation, force control systems, and mechanobiology, with a particular focus on using *Drosophila* larvae as a model organism to unravel the neural mechanisms underlying sensory mechanotransduction. His most impactful contribution—an automated force-controlled robotic micromanipulation system capable of delivering precise millinewton-level touch stimuli while simultaneously capturing fluorescence responses in mechanosensitive neurons—has garnered 42 citations and opened new avenues for studying neural circuitry and danger-escaping behaviors. Zhang has further advanced the field through innovative control strategies, including a switched fuzzy-PD control architecture for regulating contact forces with exceptional accuracy in live biological specimens, cited 25 times. His 2018 work introduced 3D-printed micro force sensors to enable stimulation of freely moving larvae, demonstrating a commitment to accessible and adaptable instrumentation. Complementing these efforts, Zhang developed model compensation-prediction schemes to address real-world control challenges such as measurement noise and time delays. Collectively, his work bridges robotics engineering and neuroscience, providing powerful experimental platforms that help decode how organisms sense and respond to mechanical stimuli at the single-neuron level.
Research Focus
Key Achievements
Top Papers
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- 2Switched Fuzzy-PD Control of Contact Forces in Robotic Microbiomanipulation25 citations · 2016
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