Zichao Ji

State Key Laboratory of Digital Medical Engineering

Papers

Total Citations

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About

Zichao Ji is a leading researcher in intelligent robotics and nondestructive inspection, with a focus on enhancing the safety and reliability of critical infrastructure. His work centers on developing autonomous robotic systems for detecting internal defects in overhead transmission lines, particularly Aluminum Conductor Composite Core (ACCC) wires, which are vital for grid stability. Ji’s most-cited paper, "Internal Defect Detection of Overhead Aluminum Conductor Composite Core Transmission Lines With an Inspection Robot and Computer Vision" (2023, 19 citations), introduces a novel X-ray inspection robot combined with an anchor-free computer vision algorithm to automatically identify hidden defects—a breakthrough that addresses a long-standing challenge in power grid maintenance. Additionally, his research on "Design and Control of a Snake Robot With a Gripper for Inspection and Maintenance in Narrow Spaces" (2023, 14 citations) showcases a versatile robot equipped with a camera, laser sensor, and gripper, capable of navigating confined environments to perform both inspection and object manipulation. These contributions highlight Ji’s impact in advancing robotic autonomy and defect detection, offering practical solutions for industrial applications. His work is widely cited for its innovation in merging robotics with computer vision, making him a notable figure in the field of intelligent inspection systems.