Ridlho Khoirul Fachri

Papers

Total Citations

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About

Ridlho Khoirul Fachri is a robotics researcher whose work centers on autonomous navigation, control systems, and mobile robot safety. His most cited paper, "Multiple Waypoint Navigation for Mobile Robot Using Control Lyapunov-Barrier Function (CLBF)" (2022, 5 citations), makes a significant contribution by implementing the CLBF method on real Autonomous Mobile Robot (AMR) hardware equipped with four mecanum wheels. This work bridges theoretical control theory with practical robotics, addressing the dual challenges of stability—ensuring the robot reliably reaches its target—and safety—preventing collisions or unsafe states during navigation. By applying inverse kinematics to the mecanum wheel platform, Fachri demonstrates how CLBF can enable robust, multi-waypoint traversal in complex environments. His research holds particular relevance for warehouse automation, service robotics, and any domain requiring safe, precise autonomous movement. Though early in his career, Fachri’s focus on hardware-validated control strategies marks him as a promising contributor to the field, with his work laying groundwork for more resilient and trustworthy mobile robot systems.