Jonas Perolini

Background

About Jonas Perolini

Software Engineer specialized in Robotics, Computer Vision, and Autonomous Mobility. I'm passionate about solving meaningful complex challenges, innovation, and collaborative teamwork in dynamic environments.Currently a Software Engineer at RigiTech, leading key projects:Robust Vision-based Precision Landing: Developed a reliable precision landing system using an innovative hybrid marker detection method combining non-binary fiducial marker encoding, nested markers, and ArUco boards. Enhanced accuracy and robustness through an adaptive uncertainty estimation and Kalman filter-based pose estimation. Adopted and operational for over 2.5 years by various clients.Precision Payload Delivery Algorithm: Designed and implemented safe, robust algorithms for precise payload delivery using precision landing targets. Successfully deployed for offshore wind turbine operations in Denmark, managing onsite client interactions and system integrations during a two-week mission.Onboard Detect-and-Avoid System: Implemented ASTM F3442-compliant algorithms using ADS-B transponder data to reliably avoid near mid-air collisions. Actively participated in client demonstrations and system validation in Jersey, UK.Additional responsibilities include RTK positioning enhancement, advanced sensor fusion, and continuous improvement of the PX4 autopilot system.Previously completed a Master's in Robotics at EPFL, with thesis focused on "Robust Vision-based Landing for UAVs Under Large Measurement Uncertainties," developed in collaboration with EPFL's LIS Lab and RigiTech.Teaching experience at EPFL as a Teaching Assistant for "Basics of Mobile Robotics" and "Multivariable Control and Coordination Systems." Provided private tutoring in mathematics and physics.Multilingual: Native in French, Spanish, and Catalan; Fluent in English; Intermediate (B2) in German; learning Arabic.Open to opportunities involving computer vision, deep/machine learning, localization, path planning, and control systems.