Federico Maresca
Papers
1
Total Citations
3
H-Index
1
About
Federico Maresca is a researcher focused on advancing autonomous navigation for mobile robots, particularly in environments shared with humans. His work addresses a critical challenge in modern robotics: enabling low-resource mobile agents to safely and efficiently navigate dynamic spaces alongside human operators. His most-cited paper, "Dynamic path planning in human-shared environments for low-resource mobile agents" (2023), proposes a novel path planner that allows robots to autonomously avoid moving obstacles—especially people—without relying on high-end computational hardware. This contribution is vital for industrial applications where cost-effective, safe human-robot collaboration is essential. With 3 citations to date, this work is gaining traction as a practical solution for real-world deployment. Maresca’s research sits at the intersection of robotics, path planning, and human-robot interaction, offering scalable approaches that make autonomous navigation more accessible. His efforts are particularly notable for addressing the constraints of low-resource systems, ensuring that safety and efficiency are not sacrificed for affordability. For students and researchers in robotics, Maresca’s work provides a clear blueprint for designing intelligent, human-aware navigation systems in industrial and collaborative settings.
Research Focus
Key Achievements
Top Papers
- 1