Luca Carlino
Papers
1
Total Citations
4
H-Index
1
About
Luca Carlino is a robotics researcher whose work centers on autonomous navigation and obstacle avoidance, with a particular focus on maritime applications. His most cited contribution, "ROS-based simulation environment for obstacle avoidance in autonomous navigation" (2022), has garnered 4 citations and demonstrates his expertise in integrating the Robot Operating System (ROS) with advanced planning algorithms. In this work, Carlino developed a flexible simulation environment that supports multiple planning approaches, implementing the Timed Elastic Band (TEB) local planner to enable safe and efficient path planning for autonomous vessels. This contribution is notable for bridging the gap between theoretical planning algorithms and practical deployment in complex maritime settings. Carlino’s research addresses critical challenges in autonomous systems, including real-time obstacle detection and trajectory optimization, making his work relevant for students and researchers exploring ROS-based solutions in robotics. His achievements highlight a commitment to creating scalable, open-source tools that advance the field of autonomous navigation, particularly in environments where traditional sensing and control methods face limitations.
Research Focus
Key Achievements
Top Papers
- 1