Antonio Ragazzo
Papers
1
Total Citations
3
H-Index
1
About
Antonio Ragazzo is a robotics researcher focused on enabling safe, autonomous navigation for mobile agents in human-shared environments. His work addresses a critical challenge in industrial robotics: how low-resource robots can dynamically plan paths while reliably avoiding moving obstacles, particularly human operators. His most-cited paper, “Dynamic path planning in human-shared environments for low-resource mobile agents” (2023), proposes a real-time planning framework that balances computational efficiency with robust collision avoidance, making it suitable for robots with limited onboard processing. This contribution is vital for the practical deployment of collaborative robots in factories, warehouses, and logistics settings where humans and machines must work in close proximity. Though early in his career, Ragazzo’s work has already garnered attention, with his top paper accumulating 3 citations—a strong start for a recent publication. His research sits at the intersection of motion planning, human-robot interaction, and embedded systems, offering scalable solutions for safe coexistence. As the demand for flexible, human-aware automation grows, Ragazzo’s contributions are poised to influence the next generation of industrial mobile robots.
Research Focus
Key Achievements
Top Papers
- 1