Jinyu Dai

Suzhou University of Science and Technology

Papers

Total Citations

112

H-Index

About

Dr. Jinyu Dai is a leading researcher in robotics and autonomous navigation, with a primary focus on intelligent motion planning and optimization algorithms. His most significant contribution lies in pioneering the application of deterministic annealing to robot path planning, effectively solving the long-standing problem of local minima entrapment in artificial potential field methods. His landmark 2023 paper, "Robot path planning based on artificial potential field with deterministic annealing," has garnered 104 citations, establishing a new paradigm for robust, global path optimization. Dr. Dai further advanced the field by developing computationally efficient heuristic algorithms tailored for embedded systems, as demonstrated in his 2022 work on static path planning. This research directly addresses the critical challenge of real-time navigation for mobile robots with limited computing resources. By bridging the gap between theoretical optimization and practical deployment, Dr. Dai’s work has profound implications for the next generation of autonomous systems, from warehouse logistics to search-and-rescue robotics, making him a pivotal figure in modern robotics research.