Jin Qiu

Suzhou University of Science and Technology

Papers

Total Citations

H-Index

About

Jin Qiu is a researcher focused on computational optimization and autonomous robotics, with a particular emphasis on enhancing real-time decision-making in resource-constrained systems. His most-cited work, "Robot Static Path Planning Method Based on Deterministic Annealing" (2022, 8 citations), addresses a critical bottleneck in mobile robotics: the computational intensity of heuristic optimization algorithms. By integrating deterministic annealing into path planning, Qiu’s approach significantly reduces computing demands, enabling efficient navigation for embedded systems like mobile robots. This contribution bridges the gap between theoretical optimization and practical deployment, offering a scalable solution for real-time applications. While his citation count reflects a growing interest in his work, Qiu’s research stands out for its focus on algorithmic efficiency—a key challenge in modern robotics. His efforts are particularly notable for advancing the feasibility of online path planning in low-power hardware, a vital step toward more autonomous and responsive robotic systems. As the field pushes toward edge computing and embedded AI, Qiu’s work positions him as a promising voice in making complex optimization accessible to real-world, resource-limited platforms.