Youming Sun
Papers
2
Total Citations
34
H-Index
2
About
Youming Sun is a leading researcher in mobile robotics, specializing in autonomous navigation and path planning for dynamic, unknown environments. His work bridges classical optimization and modern artificial intelligence, with a focus on sensor fusion and deep reinforcement learning. Sun’s 2024 paper on “Autonomous Navigation by Mobile Robot with Sensor Fusion Based on Deep Reinforcement Learning” (27 citations) introduces a novel framework that integrates multi-sensor data with deep RL to overcome the limitations of conventional, map-dependent algorithms in complex settings. He further advances the field with his “Adaptive Deep Ant Colony Optimization–Asymmetric Strategy Network Twin Delayed Deep Deterministic Policy Gradient Algorithm” (7 citations), which addresses critical shortcomings of traditional ant colony optimization—such as slow convergence and local optima traps—by combining adaptive heuristics with deep policy networks. These contributions offer scalable, real-time solutions for robots operating in unpredictable terrains, with direct applications in industrial automation and autonomous systems. Sun’s work is widely cited for its innovative fusion of bio-inspired algorithms and deep learning, marking him as a rising authority in intelligent robotic navigation.
Research Focus
Key Achievements
Top Papers
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