Qingxin Luo

Nanjing University of Information Science and Technology

Papers

Total Citations

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About

Qingxin Luo is a researcher at the forefront of robotics and intelligent systems, with a primary focus on enhancing the precision and safety of live-line working robots. Their key research areas include visual assistance systems, target ranging methods, and autonomous robotic manipulation in high-risk environments. Luo’s major contribution lies in developing a novel distance measurement technique that enables live-line working robots to accurately determine the position of their gripper relative to target objects, even when operating at elevated heights. This work, published in 2024 and already garnering 2 citations, addresses a critical challenge in the field: the need for robust visual feedback to ensure precise task execution without human intervention. By proposing a method that integrates computer vision and sensor data, Luo has laid the groundwork for safer, more reliable robotic operations in power line maintenance. Their research not only advances the capabilities of live-line robots but also holds promise for broader applications in industrial automation and hazardous environment exploration. With a growing citation record and a focus on practical, high-impact solutions, Qingxin Luo is emerging as a notable contributor to the next generation of intelligent robotic systems.