Judhi Santoso

Papers

Total Citations

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About

Judhi Santoso’s research lies at the intersection of mobile robotics, intelligent path planning, and multi-agent systems, with a particular focus on leveraging cellular automata and learning automata for autonomous navigation. His most cited work, “Dynamic Path Planning for Mobile Robots with Cellular Learning Automata” (2016, 8 citations), introduces a two-stage planning framework that first computes a global path using cellular automata, then refines it dynamically—enabling robots to adapt to changing environments. In “Improved Frontier Exploration Strategy for Active Mapping with Mobile Robot” (2020, 7 citations), Santoso advances autonomous map learning by enhancing frontier-based exploration, allowing robots to intelligently select the most informative boundaries between known and unknown spaces. His earlier work, “Global Path Planning for Multi-Robot with Cellular Automata” (2013, 2 citations), extends these principles to multi-robot systems, calculating optimal paths by evaluating neighboring cells to coordinate movement toward shared goals. Though his citation counts are modest, Santoso’s contributions are foundational in applying cellular automata to real-time robotic navigation, offering computationally efficient solutions that balance global planning with local adaptability. His research is particularly valuable for students and engineers working on autonomous exploration, swarm robotics, and adaptive control in uncertain environments.