Papers
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Total Citations
6
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About
Hao Xu is a researcher specializing in robotics, autonomous systems, and intelligent algorithms, with a particular focus on motion planning and navigation for unmanned ground vehicles. His work sits at the intersection of artificial intelligence and robotics engineering, exploring how bio-inspired computational methods can be applied to solve complex real-world challenges in autonomous mobility. Among his most recognized contributions is his 2016 study on trajectory planning for Ground Mobile Robots using the ant colony algorithm — a nature-inspired optimization technique that mimics the foraging behavior of ants to efficiently navigate robots through obstacle-laden environments. This work addresses a fundamental challenge in autonomous robotics: enabling vehicles to plan safe, efficient paths without human intervention, a capability critical to applications ranging from search-and-rescue operations to military unmanned systems. With citations accumulating in the field, Xu's research has contributed meaningful practical frameworks to the robotics community, particularly for engineers and researchers developing intelligent unmanned ground vehicles. His work reflects a broader commitment to advancing automation technologies that reduce reliance on manual operation while improving the reliability and adaptability of robotic systems in dynamic environments.
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