Papers
27
Total Citations
221
H-Index
8
About
Rongchuan Sun is a robotics and autonomous systems researcher whose work spans mobile robotics, simultaneous localization and mapping (SLAM), path planning, and medical applications of machine learning. With a career spanning over a decade, Sun has made significant contributions to the foundational challenges of robot navigation and intelligent autonomy, developing novel algorithms for environment mapping, localization, and coverage path planning in dynamic and complex settings. His early work on vision-based SLAM and feature extraction laid groundwork for later advances, while his multi-robot coordination research — including map fusion via maximum common subgraph and genetic algorithm-based coverage planning — has helped push the boundaries of collaborative autonomous systems. Sun's 2020 work on bidirectional gated recurrent unit networks for respiratory motion prediction in robotic radiosurgery (37 citations) demonstrates his capacity to translate robotics expertise into life-critical medical applications. His research on intelligent mobile robots for smart factory logistics further highlights his versatility across industrial domains. Collectively accumulating over 150 citations, Sun's body of work reflects a consistent commitment to solving real-world autonomy challenges, making him a valuable reference for students and researchers working at the intersection of robotics, artificial intelligence, and applied automation.
Research Focus
Key Achievements
Top Papers
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- 5Multi-robot Path Planning for Complete Coverage with Genetic Algorithms17 citations · 2019
- 6A Grid Map Fusion Algorithm Based on Maximum Common Subgraph12 citations · 2018
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