Claudio Pascarelli
Papers
1
Total Citations
4
H-Index
1
About
Claudio Pascarelli is a robotics researcher whose work centers on autonomous navigation, with a particular focus on maritime operations and obstacle avoidance systems. His most cited contribution, "ROS-based simulation environment for obstacle avoidance in autonomous navigation" (2022), has garnered 4 citations and introduces a flexible Robot Operating System (ROS) framework designed for testing planning algorithms in challenging marine environments. By implementing the Timed Elastic Band (TEB) local planner, Pascarelli provides a practical simulation tool that bridges the gap between theoretical path planning and real-world maritime deployment. This work is especially valuable for researchers developing collision avoidance systems for autonomous vessels, where dynamic obstacles and constrained waterways demand robust, real-time solutions. Pascarelli’s research contributes to the growing field of autonomous surface vehicles, offering a reproducible environment that accelerates algorithm development and validation. His approach demonstrates a commitment to open-source tools and practical engineering, making his work accessible to both academic labs and industry practitioners working on next-generation maritime autonomy.
Research Focus
Key Achievements
Top Papers
- 1