Coastal Management Through Safe Event-Triggered Predictive Control for UAVs

Sotirios N. Aspragkathos, Panagiotis Rousseas, George C. Karras, Stamatia Rizou, Kostas J. Kyriakopoulos

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

Abstract

This paper presents an end-to-end framework, implementing coastal management through an efficient and safe strategy utilizing Unmanned Aerial Vehicles (UAVs). The proposed scheme (This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101180146) exploits an image-based analytical model as a target descriptor and combines it with Event-Triggered Nonlinear Model Predictive Control and Barrier Functions for safe, efficient, and accurate surveillance. Real-time simulations and experiments deploying an autonomous quadrotor UAV with a camera demonstrate the effectiveness of the proposed control method.

Original languageEnglish (US)
Title of host publicationEuropean Robotics Forum 2025 - Boosting the Synergies between Robotics and AI for a Stronger Europe
EditorsMarco Huber, Alexander Verl, Werner Kraus
PublisherSpringer Nature
Pages10-15
Number of pages6
ISBN (Print)9783031894701
DOIs
StatePublished - 2025
Event16th European Robotics Forum, ERF 2025 - Stuttgart, Germany
Duration: Mar 25 2025Mar 27 2025

Publication series

NameSpringer Proceedings in Advanced Robotics
Volume36 SPAR
ISSN (Print)2511-1256
ISSN (Electronic)2511-1264

Conference

Conference16th European Robotics Forum, ERF 2025
Country/TerritoryGermany
CityStuttgart
Period3/25/253/27/25

Keywords

  • Autono-mous decision making and planning
  • Autonomous navigation
  • Sensor integration and perception

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Engineering (miscellaneous)
  • Mechanical Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Applied Mathematics

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