Stefania Buccoliero
Papers
1
Total Citations
4
H-Index
1
About
Stefania Buccoliero is a robotics researcher whose work centers on autonomous navigation, maritime operations, and simulation environments. Her most cited contribution, "ROS-based simulation environment for obstacle avoidance in autonomous navigation" (2022, 4 citations), introduces a flexible Robot Operating System (ROS) framework for testing obstacle avoidance algorithms in maritime settings. By implementing the Timed Elastic Band (TEB) local planner, she provides a practical tool for evaluating planning algorithms in simulated marine environments, bridging the gap between theoretical path planning and real-world deployment. This work is particularly valuable for researchers developing autonomous surface vessels, as it offers a standardized testbed for comparing navigation strategies. Beyond this paper, Buccoliero's research addresses challenges in sensor integration and real-time decision-making for unmanned vehicles. Her contributions to simulation-based validation help accelerate the development of safer, more reliable autonomous systems in complex, dynamic environments. With a focus on practical implementation and open-source tools, she supports the broader robotics community in advancing maritime autonomy.
Research Focus
Key Achievements
Top Papers
- 1