Victor David Castillo González

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About

Victor David Castillo González is a robotics researcher whose work centers on autonomous navigation, control systems, and the practical deployment of mobile robots using the Robot Operating System (ROS 2). His most-cited paper, "Trajectory Tracking and Obstacle Avoidance with Turtlebot 3 Burger and ROS 2" (2023), demonstrates a key contribution: the successful integration of proportional control with compensation for precise lemniscate and circular trajectory tracking, combined with artificial potential field (APF) algorithms for real-time obstacle avoidance. This work showcases his ability to bridge theoretical control strategies with accessible, low-cost hardware platforms, making advanced robotics more reproducible for the research community. While his citation count is still growing, this paper has already become a reference for those implementing ROS 2-based navigation stacks. Castillo González’s research is particularly relevant for students and engineers seeking clear, applied examples of trajectory planning and reactive obstacle avoidance—core challenges in autonomous systems. His focus on open-source tools and practical validation positions him as an emerging voice in accessible robotics experimentation.