FLYAQ
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The document describes FLYAQ, an open-source platform for mission planning of autonomous quadrotors. FLYAQ allows on-site personnel to graphically define monitoring missions and the actions needed at points of interest. FLYAQ then automatically generates code that is executed by each quadrotor to autonomously complete the monitoring mission. This helps reduce costs, safety issues, and inefficient schedules associated with on-site monitoring work. The platform provides a higher level of abstraction and flexible definition of missions compared to other solutions.
FLYAQ
- 1. An Open-Source Platform for Mission Planning of Autonomous Quadrotors
- 2. Environment Monitoring Today HIGH COSTS Personnel Costs On-site Transportation Communication Overhead INTUITION SAFETY ISSUES help on-site personnel On-site personnel is exposed to through a fleet of severe risks autonomous quadrotors INEFFICIENT SCHEDULES by performing the most risky and tedious tasks Exhausting work shifts Night Stops
- 3. FLYAQ The Open-Source Platform for Mission Planning of Autonomous Quadrotors 1 I NEED TO MONITOR A CERTAIN AREA (GOAL) 4 THE FLEET OF QUADROTORS TAKES OFF AND 2 AUTONOMOUSLY COMPLETES THE I GRAPHICALLY MONITORING MISSION DEFINE THE 3 FLYAQ SENSORS ON EACH QUADROTOR MONITORING MISSION AUTOMATICALLY • CAMERA & THE ACTIONS TO GENERATES THE • IR OR THERMAL CAMERA BE PERFORMED AT CODE THAT WILL • LIGHT SENSOR EACH POINT/AREA BE EXECUTED BY • GAS PARTICLES SENSOR OF INTEREST EACH QUADROTOR • MICROPHONE
- 4. Why we are unique HIGHER LEVEL OF ABSTRACTION Monitoring missions are defined graphically Integration with Open Street Map Smart Planning, for example: • automatic management of the choreography of quadrotors • energy consumption estimation and automatic management • ... FLEXIBLE DEFINITION OF MONITORING MISSIONS The language for defining monitoring missions is based on the “event-condition-action” paradigm EASY TECHNOLOGICAL TRANSFER The language for defining monitoring missions speaks the same language of on-site operators no need for expensive training sessions
- 5. Team PhD. Davide Di Ruscio PhD. Ivano Malavolta PhD. Patrizio Pelliccione (1978) (1983) (1975) Assistant Professor at the Research Fellow at the Information Assistant Professor at the Information Engineering, Computer Engineering, Computer Science and Information Engineering, Computer Science and Mathematics Mathematics (DISIM) department Science and Mathematics (DISIM) department of the of the University of L’Aquila. (DISIM) department of the University of L’Aquilla. He works on Responsible of a full course about University of L’Aquila. He works on Model-Driven Engineering, software Mobile Applications Development. His verification and validation of complex evolution, model differencing, code research interests inlcude software systems, adaptable and self- generation and Web development architecture, Model-Driven adaptable systems, service-based Engineering, and Mobile Applications. computing, model-driven engineering.