Papers
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Total Citations
6
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About
Dr. Maoyuan Ji is a researcher at the forefront of artificial intelligence and robotics, with a primary focus on intelligent path planning and mobile robot navigation. His most-cited work, "Research on Path Planning of Mobile Robot Based on Reinforcement Learning" (2022), has garnered 6 citations, establishing a foundation for integrating reinforcement learning algorithms into autonomous navigation systems. Dr. Ji’s key contribution lies in advancing beyond traditional path algorithms, demonstrating how reinforcement learning can enable mobile robots to adaptively learn optimal routes in dynamic environments. This work addresses critical challenges in real-world robotics, such as obstacle avoidance and energy efficiency, by leveraging AI’s ability to improve decision-making through trial and error. His research bridges the gap between theoretical reinforcement learning models and practical robotic applications, offering scalable solutions for industries like logistics, manufacturing, and autonomous vehicles. By highlighting the limitations of conventional methods and proposing learning-based alternatives, Dr. Ji has helped shift the field toward more flexible, intelligent systems. His ongoing work continues to explore how AI-driven approaches can enhance robot autonomy, making him a notable contributor to the evolution of intelligent robotics.
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