He Guotian

Chongqing Institute of Green and Intelligent Technology, Chongqing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

He Guotian’s research focuses on precision mechanical transmission systems and mobile robot navigation, with particular emphasis on robotic reducers and visual perception for autonomous robots. His most cited work, “Overview of Robotic Reducer Testing Technology” (2021, 5 citations), provides a comprehensive analysis of testing methodologies for high-performance reducers—critical components in industrial robots that enable large transmission ratios, high efficiency, and stable, low-noise operation. This review serves as a foundational reference for engineers and researchers working on robotic drivetrain reliability and performance evaluation. In earlier work, “Mobile robot loop closure detection using endpoint and line feature visual dictionary” (2017, 2 citations), He addressed a key challenge in simultaneous localization and mapping (SLAM) by developing a method that uses endpoint and line features to reduce accumulated navigation errors. By leveraging rich visual information from cameras, his approach improves a robot’s ability to recognize previously visited locations, enhancing long-term autonomy. Though his citation counts are modest, He Guotian’s contributions are notable for bridging practical testing standards in precision mechanics with innovative visual SLAM techniques, offering valuable insights for both industrial robotics and mobile robot navigation research.