Zihou Wei
Papers
5
Total Citations
123
H-Index
4
About
Zihou Wei is a pioneering researcher at the intersection of neuroscience, robotics, and microelectromechanical systems (MEMS), whose work is forging new pathways in bio-inspired intelligence and tactile sensing. His primary research areas include in vitro biological neural networks (BNNs) for neurorobotics, biomimetic tactile sensors, and microfluidic biofabrication. Wei’s most impactful contribution is his comprehensive overview of BNN-based neurorobotic systems (2023, 95 citations), which synthesizes how cultured neural networks can be coupled with robotic bodies to exhibit learning, memory, and control—a foundational step toward embodied biological intelligence. He also developed a real-time neuro-robot system (2022, 7 citations) that enables direct BNN-to-robot state control. In tactile sensing, Wei engineered a small-scale, rat-inspired MEMS whisker sensor (2022, 11 citations) with superior tactile perception for biomimetic robots, advancing from earlier MEMS prototypes (2019, 8 citations). His work in magnetically-assisted microfluidic printing (2023, 2 citations) further demonstrates his versatility, enabling the fabrication of anisotropic skeletal muscle structures for tissue engineering. With a growing citation footprint and a portfolio bridging neural computation, sensor design, and biofabrication, Zihou Wei is shaping the future of intelligent, biologically-grounded robotic systems.
Research Focus
Key Achievements
Top Papers
- 1An Overview of In Vitro Biological Neural Networks for Robot Intelligence95 citations · 2023
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- 4A real-time neuro-robot system for robot state control7 citations · 2022
- 5