Samuel Gómez‐Peñate
Papers
1
Total Citations
3
H-Index
1
About
Samuel Gómez‐Peñate is an emerging researcher in robotics and autonomous systems, with a primary focus on trajectory tracking, obstacle avoidance, and the integration of Robot Operating System 2 (ROS 2) for mobile robot control. His most-cited work, "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 trajectory tracking, combined with an artificial potential field (APF) algorithm for real-time obstacle avoidance. This contribution addresses key challenges in autonomous navigation, offering a robust framework for low-cost robotic platforms. Although his citation count is currently modest at 3, the work is notable for its hands-on approach to bridging theoretical control methods with ROS 2, a rapidly growing standard in robotics development. Gómez‐Peñate’s research is particularly valuable for students and engineers seeking accessible, reproducible methods for mobile robot autonomy. His work underscores the potential of integrating classical control strategies with modern middleware, paving the way for scalable applications in service robotics and education. As the field evolves, his contributions are likely to gain traction among practitioners focused on real-world deployment of autonomous ground vehicles.
Research Focus
Key Achievements
Top Papers
- 1