Papers
1
Total Citations
42
H-Index
1
About
Boyu Wang is a leading researcher in the intersection of robotics, building information modeling (BIM), and intelligent automation. His work focuses on developing advanced path planning algorithms that enable autonomous systems to navigate and operate efficiently within complex indoor environments. Wang’s major contribution lies in integrating BIM data with robotic configurations to optimize coverage path planning, significantly improving the accuracy and efficiency of tasks such as inspection, mapping, and maintenance. His most cited paper, "Improved coverage path planning for indoor robots based on BIM and robotic configurations" (2023), has garnered 42 citations, reflecting its immediate impact on both academic research and practical applications in construction robotics and facility management. By bridging the gap between digital building models and physical robotic movement, Wang’s work addresses critical challenges in automation, offering scalable solutions for smart buildings and industrial settings. His research is widely recognized for its potential to enhance operational safety and reduce human intervention in hazardous environments. Wang’s contributions continue to shape the future of autonomous navigation, making him a key figure in the evolving field of intelligent robotics.
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Top Papers
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