J. Santiago

Papers

1

Total Citations

3

H-Index

1

About

J. Santiago is a robotics researcher whose work focuses on autonomous navigation, control systems, and real-world implementation of mobile robot algorithms. Their most-cited paper, "Trajectory Tracking and Obstacle Avoidance with Turtlebot 3 Burger and ROS 2" (2023), demonstrates a practical integration of proportional control with compensation for lemniscate and circular trajectory tracking, alongside an artificial potential field (APF) method for obstacle avoidance. This work, garnering 3 citations, highlights Santiago’s strength in bridging theoretical control strategies with accessible, open-source robotics platforms like the Turtlebot 3 and ROS 2. By addressing both precise path following and reactive safety in dynamic environments, Santiago contributes to making advanced robotics more deployable in education and research. Their approach emphasizes hands-on validation, offering a replicable framework for students and engineers exploring autonomous systems. Santiago’s research is particularly valuable for those entering the field, as it provides clear, code-driven solutions to foundational challenges in mobile robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Trajectory Tracking and Obstacle Avoidance with Turtlebot 3 Burger and ROS 2
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 68 days ago