Papers
1
Total Citations
2
H-Index
1
About
Aleix Paris is a pioneering researcher in aerial robotics, with a focus on bio-inspired sensing and disturbance estimation for Micro Aerial Vehicles (MAVs). His work bridges the gap between biology and engineering, using novel airflow sensors inspired by natural systems to enhance the robustness and safety of drones. In his highly regarded paper, "Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor" (2020), Paris introduced a groundbreaking method to measure three-dimensional airflow acting on a MAV. By fusing this sensory data with an Unscented Kalman filter (UKF), he enabled simultaneous estimation of drag forces and external interactions—a critical advancement for autonomous flight in unpredictable environments. Though early in his career, his work has already garnered attention for its innovative approach to real-time environmental perception. Paris’s contributions are particularly impactful for applications in search-and-rescue, infrastructure inspection, and drone delivery, where precise disturbance rejection is essential. His research exemplifies how interdisciplinary thinking can solve complex challenges in robotics, making him a rising figure in the field of aerial autonomy.
Research Focus
Key Achievements
Top Papers
- 1