Maulana Muhammad Jogo Samodro

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About

Maulana Muhammad Jogo Samodro is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots operating in dynamic environments. His most-cited paper, "Artificial Potential Field Path Planning Algorithm in Differential Drive Mobile Robot Platform for Dynamic Environment" (2023, 6 citations), addresses a fundamental challenge in robotics: enabling a differential drive mobile robot to generate collision-free trajectories while navigating around obstacles between its starting point and goal. Samodro’s contribution lies in applying and refining the Artificial Potential Field (APF) algorithm—a method that treats obstacles as repulsive forces and the target as an attractive force—to improve real-time decision-making in changing surroundings. This work is particularly significant for applications in warehouse automation, search-and-rescue, and service robotics, where adaptability is critical. While his citation count is still growing, the paper’s focus on a practical, widely-used algorithm in a dynamic context signals its relevance to both academic researchers and industry practitioners. Samodro’s research bridges theoretical control methods with real-world implementation, offering a foundation for future advances in autonomous robot navigation.