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About

Cunming Hao is a robotics researcher whose work centers on intelligent navigation and agricultural automation, with a particular focus on mobile robot path planning and specialty crop harvesting. His most cited paper, "Research on mobile robot path planning in dynamic environment" (2017, 6 citations), addresses a critical limitation of the traditional artificial potential field method by incorporating relative position and velocity of moving targets and obstacles, making path planning viable in real-world dynamic settings. Hao has also made significant contributions to agricultural robotics, notably through his comprehensive study "Cucumber picking robots: Technological progress, challenges, and future directions" (2026, 3 citations), which evaluates advancements in greenhouse harvesting systems amid rising labor costs. His applied work includes the "Development and field evaluation of a straddle-frame honeysuckle harvesting robot" (2025, 2 citations), demonstrating practical deployment of robotic solutions for specialty crops. Across these studies, Hao bridges theoretical path planning with tangible agricultural applications, addressing both fundamental navigation challenges and the pressing need for automated harvesting. His research is particularly relevant for students and engineers interested in field robotics, dynamic environment navigation, and the intersection of automation with sustainable agriculture.