José-Armando Fragoso-Mandujano

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About

José-Armando Fragoso-Mandujano is a robotics researcher whose work centers on autonomous navigation, trajectory tracking, and obstacle avoidance for mobile robots. His most-cited paper, “Trajectory Tracking and Obstacle Avoidance with Turtlebot 3 Burger and ROS 2” (2023), demonstrates a practical implementation of proportional control with compensation for lemniscate and circular path following, combined with an artificial potential field (APF) algorithm for real-time obstacle avoidance. This work, which has garnered 3 citations, highlights his expertise in integrating classical control strategies with modern robotic operating systems like ROS 2. Fragoso-Mandujano’s contributions are particularly valuable for advancing low-cost, accessible robotic platforms, making sophisticated navigation techniques more attainable for students and researchers. His research bridges theoretical control methods and practical deployment, offering clear, reproducible frameworks for trajectory planning and collision-free movement. By focusing on the Turtlebot 3 Burger—a widely used educational robot—he has provided a tangible resource for learning and experimentation in autonomous robotics. His work continues to inspire further developments in safe, efficient robot navigation in dynamic environments.