Papers
6
Total Citations
45
H-Index
4
About
Handong Zhang is a pioneering researcher in mobile robotics, specializing in autonomous navigation, obstacle avoidance, and multi-robot coordination. His most influential work, "Real-time Obstacle Avoidance Strategy for Mobile Robot Based on Improved Coordinating Potential Field with Genetic Algorithm" (2007, 22 citations), introduced a novel Coordinating Potential Field (CPF) method that overcomes the limitations of traditional artificial potential fields in dynamic environments. By integrating local subgoals, Zhang’s approach enables robots to navigate complex, unpredictable settings with enhanced efficiency and safety. He further advanced sensor fusion in "Application of Fusion 2D Lidar and Binocular Vision in Robot Locating Obstacles" (2021, 8 citations), addressing critical gaps in obstacle detection accuracy by combining lidar and vision data for precise 3D mapping. Zhang also contributed to path planning with a fixed-length decimal encoding mechanism for genetic algorithms (2007, 6 citations) and explored multi-robot cooperation in dynamic pursuit tasks (2009, 3 citations). His early work on vision-based distance measurement (2006) laid groundwork for localization technologies. With a career spanning foundational algorithms to modern sensor integration, Zhang’s research remains vital for advancing autonomous systems in real-world applications.
Research Focus
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