Hongwei Qin

Shenyang Institute of Automation, Chinese Academy of Sciences

Papers

Total Citations

291

H-Index

About

Hongwei Qin is a leading researcher in autonomous mobile robotics, with a primary focus on path planning and obstacle avoidance for ground robots, underwater vehicles, and unmanned aerial vehicles. His most influential work, the 2023 review "Review of Autonomous Path Planning Algorithms for Mobile Robots," has garnered 286 citations, establishing it as a key reference in the field. This comprehensive survey synthesizes decades of algorithmic development, providing critical insights into the core technologies that enable robot autonomy. Qin’s contributions extend to advancing local obstacle avoidance methods, notably through his work on an improved Dynamic Window Approach (DWA) that addresses the challenge of moving obstacles—a common limitation in traditional velocity-sampling algorithms. By tackling real-world collision risks, his research enhances the safety and reliability of mobile robots in dynamic environments. With a career dedicated to bridging theoretical algorithms and practical deployment, Qin’s work continues to shape the next generation of intelligent, autonomous systems, making him a pivotal figure for students and engineers exploring robotics and AI.