Jian Ouyang

Guangdong Polytechnic Normal University, Henan Polytechnic University

Papers

Total Citations

163

H-Index

About

Jian Ouyang is a leading researcher in autonomous mobile robotics, with a primary focus on advancing path planning and trajectory optimization for intelligent systems. His work bridges the gap between global and local navigation strategies, tackling the complex challenge of enabling robots to operate efficiently in dense, dynamic environments. Ouyang’s most influential contribution is his 2022 paper on a combined improved A* and greedy algorithm for multi-objective mobile robot path planning, which has garnered 130 citations—a testament to its significance in the field. This work revolutionized how autonomous mobile robots (AMRs) balance computational efficiency with optimal route selection, addressing a critical bottleneck in real-world deployment. He further advanced local trajectory planning with his 2021 study on an improved Dynamic Window Approach (DWA), which enhances robot movement fluency in cluttered spaces, earning 30 citations. Earlier in his career, Ouyang demonstrated his versatility by developing industrial robot error compensation techniques using laser tracker systems, showcasing his ability to solve precision challenges in manufacturing. His research continues to shape the next generation of intelligent, adaptive robotic systems.