Yangkun Zhang

Chinese Academy of Sciences, National University of Singapore, Xi'an Jiaotong University

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About

Yangkun Zhang is a researcher whose work spans the frontiers of bio-inspired optoelectronics and intelligent robotic systems. His most impactful contribution lies in the field of biomimetic vision, where his 2023 paper on 2D semiconductor-based optoelectronics for artificial vision has garnered 75 citations. This work pioneers artificial retina technologies that mimic the eye’s natural processes, converting light into interpretable electrical signals to restore visual function—a breakthrough with profound implications for medical implants and neuromorphic computing. Beyond bio-electronics, Zhang has advanced robotics with a decentralized robust tracking control approach for 2-DOF planar robot manipulators, addressing real-world disturbances and uncertainties. His 2022 work on optimal vibration sensor placement for industrial robots, grounded in Bayesian theory, further demonstrates his commitment to practical, reliable automation through enhanced health monitoring and fault diagnosis. By bridging materials science, control theory, and sensor optimization, Zhang’s research offers a compelling vision of machines that see, move, and self-diagnose with unprecedented fidelity.