Boyin Xu

Papers

Total Citations

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About

Boyin Xu is a researcher whose work lies at the intersection of robotics, computational intelligence, and optimization algorithms. Their most-cited paper, "Non-Standard Map Robot Path Planning Approach Based on Ant Colony Algorithms" (2023, 13 citations), addresses a critical challenge in autonomous navigation: how robots can efficiently plan paths in environments where traditional coordinate-based maps are insufficient. By integrating ant colony optimization with non-standard map representations, Xu has proposed a novel framework that enhances a robot’s ability to navigate complex, unstructured spaces without relying solely on sensor-derived coordinates. This contribution is particularly valuable for real-world applications such as search-and-rescue missions or exploration in unknown terrains. With 13 citations in a short time, the work signals growing interest in Xu’s approach to bridging bio-inspired algorithms and practical robotics. While early in their career, Xu’s focus on adaptive, algorithm-driven path planning marks them as a promising voice in the field, offering solutions that push beyond conventional mapping limitations. Their research invites further exploration into how swarm intelligence can reshape autonomous navigation.