Tiyu Fang

University of Jinan, Shandong University

Papers

Total Citations

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About

Tiyu Fang is a robotics researcher specializing in autonomous navigation, visual perception, and human-robot interaction for mobile manipulators. Their work addresses critical challenges in enabling robots to operate in unstructured, real-world environments—from outdoor terrain to indoor service settings. Fang’s most cited paper, “Positioning and Pressing Elevator Button by Binocular Vision and Robot Manipulator” (2018, 5 citations), presents a novel solution for anthropomorphic dual-arm robots to autonomously locate and press elevator buttons using stereo vision, effectively bridging the gap between path planning and fine manipulation. This work contributes to the broader goal of robots navigating multi-floor buildings without human assistance. In a subsequent study, “An Accurate Visual Navigation Method for Wheeled Robot in Unstructured Outdoor Environment Based on Virtual Navigation Line” (2022, 3 citations), Fang introduced a robust visual navigation framework that uses a virtual navigation line to guide wheeled robots through unpredictable outdoor settings, improving accuracy and reliability. Though early in their career, Fang’s research demonstrates a clear focus on practical, vision-driven autonomy—combining perception, planning, and control to make robots more capable in everyday environments. Their work is particularly relevant for students and researchers interested in field robotics, service robots, and computer vision applications in automation.