Jinfang Zheng
Papers
1
Total Citations
7
H-Index
1
About
Jinfang Zheng is a researcher specializing in robotics and artificial intelligence, with a particular focus on autonomous navigation and path planning for mobile robots. Their most notable contribution is the development of a Dueling-DDPG (Deep Deterministic Policy Gradient) architecture for mobile robot path planning, which integrates laser range findings to enhance decision-making in dynamic environments. This work, published in 2021, has garnered 7 citations, reflecting its growing relevance in the field of intelligent robotics. Zheng’s research addresses critical challenges in real-time obstacle avoidance and efficient trajectory optimization, leveraging reinforcement learning to improve robot autonomy. By combining deep reinforcement learning with sensor-based perception, their approach offers a robust solution for complex navigation tasks, with potential applications in industrial automation and service robotics. Zheng’s contributions are particularly valuable for students and researchers exploring the intersection of machine learning and robotics, providing a foundation for further advancements in autonomous systems. Their work underscores the importance of adaptive algorithms in enabling robots to operate safely and efficiently in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1