Dario Calogero Guastella
Papers
13
Total Citations
248
H-Index
6
About
Dario Calogero Guastella is a robotics researcher whose work focuses on autonomous navigation, multi-robot systems, and perception for unstructured environments. His most impactful contribution is a comprehensive review on learning-based methods for ground vehicle perception and navigation in unstructured terrains, which has garnered 123 citations and serves as a foundational resource for the field. Guastella has pioneered intuitive teleoperation systems that integrate multi-sensor data with mixed reality visual aids (44 citations), significantly reducing operator cognitive load. He has also developed innovative tether-based localization techniques for cooperative ground and aerial vehicles (19 citations), enabling robust relative positioning without GPS. His work on autonomous UAV landing on moving vehicles and coverage path planning for aerial flocks supporting ground rovers demonstrates his commitment to practical, multi-agent solutions. More recently, Guastella has advanced self-supervised learning for terrain traversability prediction (7 citations) and explored synchronization of chaotic robotic systems. His research spans hazardous environment robotics, magnetic gripper design for aerial delivery, and Internet of Robotic Things applications in ambient assisted living, showcasing a versatile approach to solving real-world robotic challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Tether-Based Localization for Cooperative Ground and Aerial Vehicles19 citations · 2022
- 4A System for Autonomous Landing of a UAV on a Moving Vehicle17 citations · 2017
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- 6
- 7Synchronization of Moving Chaotic Robots6 citations · 2024
- 8
- 9Highlights on some Robots and Drones for Hazardous Environments4 citations · 2021
- 10