Yihan Zhao

Papers

Total Citations

H-Index

About

Yihan Zhao is a pioneering researcher at the intersection of bio-inspired robotics, nanomedicine, and intelligent multi-agent systems. Their work is defined by a commitment to solving complex, real-world challenges through biologically motivated algorithms and novel robotic designs. Zhao’s most influential contribution is the development of an Improved Bacterial Foraging Optimization Algorithm (IBFOA) with cooperative learning, a breakthrough method for coordinating multiple nanorobots to target and eradicate cancer cells within blood vessels. This work, which has garnered 7 citations, represents a significant step forward in applying swarm intelligence to nanomedicine. More recently, Zhao has addressed pressing environmental and public health needs with the design of a specialized robot for collecting discarded medical masks, a timely innovation in the wake of the COVID-19 pandemic. Their latest research introduces a bio-inspired rigid-flexible coupled skin-scales system for soft robotic fish, enhancing mechanical protection without sacrificing compliance—a key advancement for the reliability of soft robots in real-world applications. Through these diverse projects, Yihan Zhao demonstrates a unique ability to translate biological principles into tangible engineering solutions, from the microscopic scale of cancer treatment to the macroscopic challenges of environmental robotics.