Papers
1
Total Citations
3
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1
About
Dr. Guo Yue is a researcher in robotics and artificial intelligence, with a primary focus on intelligent path planning and obstacle avoidance for mobile robots. Their most-cited work, "Based on Ant Colony Algorithm to Solve the Mobile Robots Intelligent Path Planning for Avoid Obstacles" (2014), addresses a fundamental challenge in autonomous navigation by applying bio-inspired optimization techniques. This paper analyzes the evolution of robotic systems and path planning algorithms, proposing an ant colony-based approach to enhance a robot's ability to navigate complex environments while avoiding obstacles. With 3 citations, this contribution has provided a foundation for further exploration into swarm intelligence and autonomous navigation. Dr. Yue's work is particularly relevant to students and researchers interested in the intersection of computational intelligence and robotics, offering insights into how nature-inspired algorithms can solve real-world engineering problems. Their research underscores the growing importance of adaptive, intelligent systems in advancing mobile robot autonomy.
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Top Papers
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