Jinyoung Shin

Seoul National University of Science and Technology

Papers

Total Citations

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About

Jinyoung Shin is a researcher advancing the field of autonomous mobile robotics, with a primary focus on path planning and computational efficiency. Their most notable contribution is the development of an accelerated block searching approach within the A* algorithm, a breakthrough that addresses critical memory and computational constraints in large-scale navigation tasks. This work, published in 2025, has already garnered attention with 1 citation, signaling its early impact on the robotics community. By optimizing path planning for autonomous mobile robots (AMRs), Shin’s research directly tackles the challenge of safe, real-time navigation in complex environments—a key hurdle for applications in logistics, manufacturing, and service robotics. Their approach stands out for its ability to reduce search times without sacrificing accuracy, making it a valuable resource for engineers and researchers seeking to deploy AMRs in resource-constrained settings. Shin’s work exemplifies a practical, solution-oriented mindset, bridging theoretical algorithms with real-world robotic performance. As the demand for autonomous systems grows, their contributions are poised to influence future innovations in efficient, scalable path planning.