Papers
1
Total Citations
38
H-Index
1
About
Fangping Shen is a leading researcher in construction robotics and automation, with a primary focus on intelligent excavation systems and multi-objective optimization. Their most influential work, "Multi-objective time-energy-impact optimization for robotic excavator trajectory planning" (2023), has garnered 38 citations, establishing a new paradigm for efficient and sustainable autonomous excavation. By simultaneously minimizing operation time, energy consumption, and mechanical impact, Shen’s approach enables robotic excavators to perform complex earthmoving tasks with unprecedented precision and reduced environmental footprint. This contribution is critical for advancing construction automation, where trade-offs between speed, power usage, and equipment longevity are paramount. Shen’s research integrates advanced optimization algorithms with real-world constraints, bridging the gap between theoretical control and practical deployment. Their work has been recognized as foundational for next-generation autonomous construction machinery, influencing both academic studies and industry applications in heavy equipment automation. Through this pioneering trajectory planning methodology, Fangping Shen continues to shape the future of intelligent construction, driving efficiency and sustainability in one of the world’s most labor-intensive industries.
Research Focus
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Top Papers
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