Papers
1
Total Citations
26
H-Index
1
About
Ruide Yang is a rising researcher in robotics and autonomous systems, with a primary focus on intelligent path planning and navigation for mobile robots in complex environments. Their most cited work, "Simulation of Dynamic Path Planning of Symmetrical Trajectory of Mobile Robots Based on Improved A* and Artificial Potential Field Fusion for Natural Resource Exploration" (2024, 26 citations), introduces a novel hybrid algorithm that combines an enhanced A* search with artificial potential fields to achieve smooth, symmetrical trajectories. This contribution addresses critical challenges in real-time obstacle avoidance and energy-efficient routing, particularly for natural resource exploration missions. Yang’s research bridges theoretical optimization and practical deployment, demonstrating how AI-driven fusion methods can improve robot autonomy in dynamic, unstructured terrains. Their work has been recognized for its potential to advance applications in environmental monitoring, disaster response, and industrial automation. With a growing citation record and a focus on scalable, real-world solutions, Ruide Yang is establishing a reputation for innovative contributions to mobile robotics and intelligent control systems.
Research Focus
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Top Papers
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