Demo: FlockAI - A Framework for Rapidly Testing ML-Driven Drone Applications

Demetris Trihinas, Michalis Agathocleous, Karlen Avogian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As drone technology penetrates even more application domains, Machine Learning (ML) is becoming a key driver enabling intelligence in the sky. However, ML Practitioners and Drone Application Operators are faced with several challenges when wanting to test ML-driven drone applications early in the design phase. These include the development and configuration of experiment use-cases over a robotics simulator along with the collection and assessment of desired KPIs which can range from ML algorithm accuracy to drone resource utilization and the impact of "intelligence"to the drone's energy footprint. This demonstration showcases FlockAI, an open and modular by design framework supporting users with the rapid deployment and repeatable testing during the design phase of ML-driven drone applications over the Webots robotics simulator. Through realistic use-cases, the demonstration will show how FlockAI can be used to design drone testbeds with "ready-to-go"drone templates, deploy ML models, configure on-board/remote inference, monitor and export drone resource utilization, network overhead and energy consumption to pinpoint performance inefficiencies and understand if various trade-offs can be exploited.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems, ICDCS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1318-1321
Number of pages4
ISBN (Electronic)9781665471770
DOIs
StatePublished - 2022
Event42nd IEEE International Conference on Distributed Computing Systems, ICDCS 2022 - Bologna, Italy
Duration: Jul 10 2022Jul 13 2022

Publication series

NameProceedings - International Conference on Distributed Computing Systems
Volume2022-July

Conference

Conference42nd IEEE International Conference on Distributed Computing Systems, ICDCS 2022
Country/TerritoryItaly
CityBologna
Period7/10/227/13/22

Keywords

  • Drones
  • Edge Computing
  • Machine Learning

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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