Rahel Yulianti

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About

Rahel Yulianti is a robotics researcher whose work centers on autonomous navigation and obstacle avoidance systems for mobile robots, with a particular focus on the Robot Operating System (ROS) and the Turtlebot3 Burger platform. Her most cited paper, "Obstacle Avoidance System Using LiDAR on Robot Turtlebot3 Burger" (2023), addresses a critical challenge in robotics: enabling small-scale robots to navigate complex environments safely. By integrating LiDAR sensors with ROS-based control algorithms, Yulianti developed a practical system that allows the Turtlebot3 Burger—a standard, low-cost platform—to detect and avoid obstacles in real time. This work has direct applications in autonomous delivery robots, where reliable navigation is essential. Her research serves as a foundational learning resource for students and engineers prototyping delivery systems, bridging the gap between theoretical robotics and real-world deployment. Though early in her career, Yulianti’s contributions to accessible, open-source robotics education and her focus on practical obstacle avoidance have already garnered attention, with her work cited in subsequent studies on ROS-based navigation and autonomous ground vehicles.