Jinling Song

Huaqiao University, Quanzhou Normal University

Papers

Total Citations

H-Index

About

Jinling Song’s research lies at the intersection of bionic robotics, safety engineering, and intelligent mechanical design, with a focus on developing innovative systems for high-altitude climbing robots. Her major contributions center on the safety cable retractor and intelligent connector mechanisms that enable gecko-inspired robots to operate reliably on vertical structures like towers. In her 2020 study on the “State algorithm and double optimization design of safety cable retractor,” she introduced a modular, performance-driven approach to ensure operator life support during climbs. Building on this, her 2021 work on “Kinematics and Dynamics of Intelligent Connector of Safety Cable to Tower Imitating Crocodile Mouth Action” pioneered a bionic connector that mimics an alligator clip’s gripping action, allowing robots to autonomously secure cables to tower endpoints. Though her citation counts (2 each) reflect a niche but emerging field, these papers represent foundational steps in integrating biomimicry with robotic safety systems. Song’s work is notable for its practical engineering—bridging theoretical kinematics with real-world deployment challenges—and her dual-optimization algorithms offer a template for future climbing robot designs. Her research is particularly valuable for students and engineers exploring bionic robotics, safety-critical automation, and adaptive mechanical systems in hazardous environments.