Yunhao Cui

Papers

Total Citations

117

H-Index

About

Yunhao Cui is a leading researcher in autonomous systems and intelligent robotics, with a primary focus on dynamic path planning and real-time control for mobile and industrial robots. His most influential work, "Dynamic path planning of mobile robots using adaptive dynamic programming" (2023), has garnered 92 citations, establishing a foundational framework for integrating adaptive learning algorithms into navigation systems. This contribution enables robots to autonomously adjust trajectories in unpredictable environments, significantly advancing the field of autonomous navigation. Cui further demonstrates his impact in heavy industry with his 2022 paper on "Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based optimal trajectory planning" (25 citations), where he pioneered the use of point cloud data for precise, efficient excavation operations. This work bridges the gap between theoretical robotics and practical deployment in hazardous mining environments, showcasing his ability to translate complex algorithms into real-world solutions. His research not only enhances operational safety and efficiency but also sets a benchmark for future autonomous systems in resource extraction.