Yang Ya-Xin

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About

Yang Ya-Xin is a researcher whose work centers on computational intelligence and autonomous systems, with a particular focus on path planning and optimization algorithms. Their most notable contribution is the development of an improved ant colony algorithm for robot path planning, published in 2020. This work, which has garnered 12 citations, addresses critical challenges in mobile robotics by enhancing the efficiency and adaptability of swarm-based optimization methods for navigating complex environments. By refining the pheromone update mechanism and heuristic functions, Yang's algorithm achieves faster convergence and more robust obstacle avoidance compared to traditional approaches. This research has practical implications for autonomous navigation in logistics, manufacturing, and service robotics. Yang's contributions demonstrate a commitment to advancing bio-inspired computing and its real-world applications, making their work a valuable reference for students and researchers exploring intelligent robotic systems.