Yuanyuan Xie

Papers

Total Citations

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About

Yuanyuan Xie’s research centers on intelligent robotics and autonomous navigation, with a particular focus on path planning algorithms for dynamic environments. Her most cited work introduces a novel approach to robot path planning that integrates global route optimization with real-time local obstacle avoidance. By combining grid-based workspace modeling with an ant colony algorithm, Xie developed a system capable of finding optimal paths even as environmental conditions change. This dual-layer strategy—first computing a global route, then adapting locally to obstacles—has provided a foundational framework for mobile robot navigation in unpredictable settings. While her citation count remains modest, the conceptual clarity and practical applicability of her methodology have influenced subsequent studies in swarm intelligence and adaptive robotics. Her work represents an important early contribution to the field of bio-inspired robotics, demonstrating how natural optimization processes can be harnessed for real-world engineering challenges.