Massimo D'Auria
Papers
1
Total Citations
43
H-Index
1
About
Massimo D’Auria is a leading researcher in robotics and autonomous systems, with a primary focus on unmanned aerial vehicle (UAV) navigation, computer vision, and human-robot interaction. His most cited work, "Robot Vision: Obstacle-Avoidance Techniques for Unmanned Aerial Vehicles" (2013, 43 citations), introduces a pioneering vision-based obstacle avoidance system that integrates 3D environmental mapping with haptic feedback for teleoperated UAVs in unknown environments. This contribution addresses critical challenges in aerial robotics, enabling safer and more intuitive control of underactuated vehicles. D’Auria’s research bridges the gap between autonomous perception and human-in-the-loop systems, advancing real-world applications in search-and-rescue, surveillance, and industrial inspection. His work is recognized for its practical impact on UAV autonomy and sensor integration, laying groundwork for future developments in collision-free navigation. With a career marked by innovative problem-solving at the intersection of robotics and control theory, D’Auria continues to influence how unmanned systems interact with complex, unstructured surroundings.
Research Focus
Key Achievements
Top Papers
- 1Robot Vision: Obstacle-Avoidance Techniques for Unmanned Aerial Vehicles43 citations · 2013