Autonomous swarms of robots

AR for field and C2 activities

Integrated situation awareness

Efficient maritime border surveillance

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ARESIBO is an innovative system for improved situation awareness in the border security domain. ARESIBO focuses on the operational and tactical layers by covering a wide range of multipurpose borderland operational tasks and coast guard functions including border surveillance and area examination, patrolling and tasking, situational awareness, analysis of potential threats, search and rescue activities, joint planning of field operations. The envisaged platform addresses the problem of providing enhanced and integrated situation awareness to the operational personnel acting in-situ and in the C2 control more border by developing (a) intuitive and user-friendly interfaces for border security tools, (b) cloud-based decision-support services and tools for field and C2 operators, and (c) the needed communication infrastructure to accomplish border control and security tasks. ARESIBO technical solution is based on three technology pillars. 

ARESIBO considers the use of all types of unmanned systems, namely Unmanned Ground Vehicles (UGV), Unmanned Aerial Vehicles (UAVs), Unmanned Underwater Vehicles (UUVs), and Unmanned Surface Vehicles (USVs) that can meet the operational requirements of different border security missions and have the potential to lead and autonomously accomplish difficult and dangerous operations, limiting man losses and operational costs significantly. 

The top priorities of ARESIBO will be scientific excellence and technological innovation. It will enhance the current state-of-the-art through technological breakthroughs in Mobile Augmented Reality and Wearables, Robust and Secure Telecommunications, Swarm Robotics and Planning of Context-Aware Autonomous Missions, and Artificial Intelligence (AI), in order to implement user-friendly tools for border and coast guards. The system will improve the cognitive capabilities and the perception of border guards through intuitive user interfaces, will help them acquire a clear and more accurate understanding of the current conditions by filtering the huge amount of available information stemming from multiple sources and, ultimately, will help them respond fast and effectively when a critical situation takes place.