Yuanyang Qi

Peking University, Hebei University of Technology

Papers

Total Citations

H-Index

About

Yuanyang Qi is a robotics researcher whose work focuses on the critical challenge of autonomous navigation in complex, unstructured environments. His primary research areas include path planning, dynamic modeling, and optimization algorithms for mobile robots, with a particular emphasis on amphibious systems. Qi’s major contribution lies in pioneering the application of the fireworks algorithm—a nature-inspired metaheuristic—to solve the constrained optimization problem of path planning for robots operating across land and water. His 2022 paper, "Dynamic Modeling and Hybrid Fireworks Algorithm-Based Path Planning of an Amphibious Robot," is his most cited work (15 citations), where he developed an explicit dynamic model for the "AmphiRobot" and integrated it with a hybrid optimization approach to generate feasible, energy-efficient trajectories. This work, along with his 2021 study (11 citations), established a novel framework for handling the unique discontinuities of terraqueous environments. More recently, in 2024, Qi advanced the field with an adaptive path-smoothering method that eliminates the need for manual parameter tuning, using Bézier curves to produce safer, smoother routes for mobile robots. His research is steadily gaining recognition for bridging the gap between theoretical optimization and practical robotic deployment.