Pietro Campolucci
Technical Lead at Parrot
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolPietro Campolucci is a Technical Lead at Parrot with six years’ experience building autonomous flight systems and mission software for commercial drones. He specializes in control systems, local planning and obstacle avoidance, and recently led development of RTH and Point & Fly modes and CHUCK 3.0 flight software for the Anafi platform. A hands-on engineer, he has contributed embedded drivers and EKF2 optical flow integration to the widely used Paparazzi open-source autopilot, bringing computer-vision navigation into production-ready stacks. His background spans academia and industry—teaching autonomous flight at TU Delft and prototyping hydrogen-powered offshore UAVs for the Dutch Navy—giving him a practical grasp of both research and field constraints. Based in Paris, he combines systems-level leadership with low-level firmware chops and a curiosity for novel UAV applications that push current operational limits.
6 years of coding experience
2 years of employment as a software developer
Liceo Statale Classico, Scientifico & Sportivo "Martin Luther King"TU DelftA Level, Maths, Physics, IT, A Level, Maths, Physics, IT at ISS - International School in Seyshelles
Italian, English, French, Dutch
Stackoverflow
1reputation
646reached
1answer
2questions
Github Skills (15)
c1710
embedded10
c1110
autopilot10
sys10
optical-flow10
computer-vision9
c-language8
cprogramming-language8
initialization6
eigen6
loops6
python6
constructor6
documentation5
Programming languages (3)
Github contributions (5)
paparazzi/paparazzi
Jan 2021 - Jul 2022
Paparazzi is a free and open-source hardware and software project for unmanned (air) vehicles. This is the main software repository.
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:8 reviews, 7 commits, 10 PRs in 1 year 5 months
Contributions summary:Pietro contributed to the Paparazzi software repository, focusing on embedded systems and autopilot functionality. They implemented a driver for the mateksys_PMW3901_l0x optical flow sensor, enabling computer vision capabilities for unmanned aerial vehicles (UAVs). Additionally, the user worked on the EKF2 optical flow interface, integrating optical flow data into the Extended Kalman Filter for enhanced navigation and control, and added documentation for the simulation of the system. Furthermore, the user fixed CPPM reception issues on various flight control boards.
pprzpaparazziairdroneshardware
pcampolucci/AE4317-Paparazzi-Bebop
Mar 2021 - Mar 2021
Contributions:53 commits, 34 PRs, 45 pushes in 27 days
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