Chunyang Liu
Papers
5
Total Citations
49
H-Index
3
About
Chunyang Liu is a rising robotics researcher whose work focuses on the critical intersection of autonomous navigation, path planning, and environmental perception. Liu’s primary contributions lie in developing novel algorithms that enable mobile robots to operate safely and efficiently in dynamic, unknown environments. Their most influential work, the "PRM-D* Method for Mobile Robot Path Planning" (2023), which has garnered 33 citations, addresses the fundamental challenge of balancing planning success rate, speed, dynamic obstacle avoidance, and path optimality. This work has become a key reference for researchers tackling real-world robotic navigation. Liu has further advanced the field by integrating deep learning with traditional methods, as seen in their 2024 paper on fusing YOLO-SCG with point cloud clustering for enhanced object detection. Their recent 2025 publication on autonomous exploration via real-time map optimization demonstrates a continued push toward more intelligent and efficient robotic systems. By combining probabilistic roadmaps, reinforcement learning (D*-KDDPG), and hierarchical clustering for RGB-D cameras, Liu is systematically building a comprehensive toolkit for next-generation autonomous robots, making their research essential reading for anyone working in mobile robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1PRM-D* Method for Mobile Robot Path Planning33 citations · 2023
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