Liangqing Huo

Chinese Academy of Sciences, Shenyang Institute of Automation

Papers

Total Citations

H-Index

About

Liangqing Huo is a robotics researcher whose work bridges underwater manipulation, brain-computer interfaces, and robotic calibration. His primary research areas include autonomous underwater robotic systems, semi-autonomous control via neural signals, and hand-eye coordination for robotic platforms. Huo’s major contributions center on enhancing robotic autonomy in challenging environments. His most cited work, "Construction and Research of an Underwater Autonomous Dual Manipulator Platform" (2018, 6 citations), addresses the critical limitation of weak autonomous operation in underwater hydraulic manipulators used on ROVs and HOVs, proposing a dual-arm system to improve dexterity and independent task execution. In a novel interdisciplinary effort, his 2021 paper (3 citations) integrates brain-computer interfaces with robotics, enabling users to command grasping tasks through EEG signals when hands are occupied or disabled—a step toward assistive technology. His 2022 work (3 citations) advances practical robotics by developing a fast, straightforward hand-eye calibration method using stereo cameras, simplifying the traditional AX=XB calibration process. While his citation counts reflect an emerging career, Huo’s research demonstrates a clear trajectory toward making robotic systems more autonomous, accessible, and precise across underwater and human-robot interaction domains.