Haocheng Yu

Suzhou University of Science and Technology

Papers

Total Citations

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About

Dr. Haocheng Yu is a researcher whose work centers on advancing computational efficiency in robotics, with a particular focus on path planning and optimization under resource constraints. His most-cited paper, "Robot Static Path Planning Method Based on Deterministic Annealing" (2022, 8 citations), addresses a critical bottleneck in mobile robotics: the high computational demands of heuristic optimization algorithms. By integrating deterministic annealing into path planning, Yu proposed a method that significantly reduces computing requirements, enabling real-time and online applications even on embedded systems with limited resources. This contribution is especially valuable for autonomous robots operating in dynamic environments where rapid decision-making is essential. Beyond this flagship work, Yu's research explores the intersection of algorithm design and practical deployment, aiming to bridge the gap between theoretical optimization and real-world robotic systems. His findings have implications for fields ranging from industrial automation to autonomous navigation, and his work continues to influence the development of lightweight, efficient algorithms for resource-constrained platforms.