Guojun Ma

Jiangsu University of Science and Technology

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About

Guojun Ma is a researcher advancing the capabilities of indoor mobile robotics, with a core focus on localization and path planning. His work addresses critical challenges in autonomous navigation, particularly how robots can perceive their environment and move efficiently through complex, obstacle-laden spaces. Ma’s most significant contribution is his development of an improved two-stage ultra-wideband (UWB) localization algorithm based on Time Difference of Arrival (TDOA). This work, which has garnered 10 citations, directly tackles the problem of enhancing service quality for indoor robots by refining the accuracy and reliability of their positioning systems, a fundamental requirement for tasks like delivery or surveillance. Complementing this, his research on robot path planning introduces a novel A*-weighted Jump Point Search (JPS) algorithm. This approach, cited 5 times, aims to boost the efficiency of global path planning, enabling robots to navigate more intelligently using prior environmental information. Through these focused contributions, Guojun Ma is helping to lay the practical groundwork for the seamless integration of mobile robots into everyday indoor environments.