Zebin Zhao

Papers

Total Citations

H-Index

About

Zebin Zhao is a researcher advancing the intersection of robotics, sensing technology, and intelligent design, with a primary focus on tactile sensing for healthcare and assistive robotics. His most cited work, "RSM-Based Data-Driven Optimized Design of a 3-D-Printed Building Block-Type FBG Tactile Sensor for Nursing Robots" (2023, 13 citations), introduces a novel fiber Bragg grating (FBG) tactile sensor that is modular, 3D-printed, and optimized via response surface methodology. This sensor integrates four sensing units with splicing grooves, enabling precise force feedback, shape estimation, and pulse signal detection—critical capabilities for nursing robots that require safe and adaptive human-robot interaction. Zhao’s contributions are notable for combining data-driven optimization with additive manufacturing to create low-cost, customizable tactile sensors. His work directly addresses the growing demand for soft, sensitive, and scalable sensing solutions in eldercare and rehabilitation robotics. By demonstrating how building-block design principles can enhance sensor modularity and performance, Zhao is helping to pave the way for more responsive and practical robotic caregivers.