Papers
6
Total Citations
193
H-Index
5
About
Dr. Gangyan Xu is a leading researcher at the intersection of robotics, artificial intelligence, and smart construction, with a primary focus on revolutionizing warehouse logistics and prefabricated building assembly. His most impactful work, a 2018 paper on scheduling multi-robot warehouse systems under dynamic demand, has garnered 103 citations, establishing a foundational framework for intelligent logistics. Dr. Xu’s recent contributions are particularly transformative in construction robotics, where his 2023 study on Deep Reinforcement Learning for real-time assembly planning (64 citations) addresses critical efficiency and safety gaps in robot-based prefabrication. He further advances this field with a 2024 FEM-based real-time task planning framework for robotic construction simulation (8 citations), integrating structural stability with dynamic planning. Beyond construction, Dr. Xu has innovated perishable food supply chains through a cloud auction robot execution system (2017, 10 citations) and continues to optimize robotic warehouse storage strategies (2025, 5 citations). His work bridges theoretical reinforcement learning with practical, real-time robotic control, making him a pivotal figure in the push toward fully automated, intelligent construction and logistics systems.
Research Focus
Key Achievements
Top Papers
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- 3Robot-enabled execution system for perishables auction logistics10 citations · 2017
- 4FEM-based real-time task planning for robotic construction simulation8 citations · 2024
- 5An efficient storage strategy for robotic warehouse5 citations · 2025
- 6