Jianya Yuan
Papers
1
Total Citations
83
H-Index
1
About
Jianya Yuan is a leading researcher in robotics and artificial intelligence, with a primary focus on intelligent motion planning and autonomous navigation. His most impactful work introduces a novel GRU-RNN network model for dynamic path planning of mobile robots, addressing the critical challenge of navigation in unknown environments. By integrating deep neural networks with sensor inputs, Yuan’s model generates adaptive control strategies that enable robots to respond in real-time to complex, unstructured spaces. This seminal paper has garnered 83 citations, underscoring its influence on advancing autonomous systems. Yuan’s contributions bridge the gap between recurrent neural architectures and practical robotics, offering a robust framework for dynamic obstacle avoidance and efficient path generation. His research is pivotal for students and engineers working on autonomous vehicles, service robots, and intelligent transportation systems. Through this work, Yuan has established himself as a key innovator in deep learning-driven robotics, providing foundational methods that continue to inspire further exploration in sensor-based control and adaptive navigation.
Research Focus
Key Achievements
Top Papers
- 1A Novel GRU-RNN Network Model for Dynamic Path Planning of Mobile Robot83 citations · 2019