Ariffudin Joret

Papers

Total Citations

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About

Ariffudin Joret is a robotics researcher whose work focuses on intelligent path planning and autonomous navigation. His most influential contribution, the "Improved Potential Field Method for Robot Path Planning with Path Pruning" (2020), has garnered 17 citations, establishing him as a key figure in optimizing robotic movement in complex environments. By addressing the limitations of traditional potential field approaches—such as local minima and inefficient trajectories—Joret introduced a path pruning technique that significantly enhances computational efficiency and real-time adaptability. This work is particularly impactful for applications in mobile robotics, where safe and dynamic route adjustment is critical. His research bridges theoretical algorithms with practical deployment, offering solutions that are both robust and computationally light. Joret’s contributions are shaping the next generation of autonomous systems, from warehouse logistics to search-and-rescue operations, making him a notable voice in the field of robot motion planning.