Yanzheng Han

University of Science and Technology Beijing

Papers

Total Citations

H-Index

About

Yanzheng Han is a researcher in robotics and autonomous systems, with a primary focus on path planning and energy-efficient navigation for mobile robots. His most cited work, "Complete coverage path planning algorithm based on energy compensation and obstacle vectorization" (2022, 18 citations), introduces a novel approach that optimizes coverage paths by compensating for energy consumption and vectorizing obstacles—a critical contribution for applications in cleaning, inspection, and agricultural robotics. This algorithm addresses the challenge of ensuring full area coverage while minimizing redundant movement and energy use, offering practical improvements over traditional methods. Han’s research bridges theoretical optimization with real-world constraints, making his work valuable for both academic and industrial robotics communities. While his citation count is still growing, his innovative integration of energy modeling with obstacle-aware planning has already influenced subsequent studies in autonomous navigation. Han’s contributions are particularly notable for their potential to enhance the efficiency and autonomy of service robots operating in complex, unstructured environments.