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Activity title

Swarms Systems for Intelligence Surveillance & Reconnaissance

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Sensors & Electronics Technology

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HumanRAS Interaction, Intelligence Surveillance Reconnaissance ISR, Robotic and Autonomous System RAS, Sensors Network, Swarm


Currently, stand-alone, tele-operated Robotic & Autonomous Systems (RASes) are typically adopted to cope with fixed, remote (potential) threats’. The current generation of RAS is characterized by a low-level of autonomous decision making capabilities and very basic robot-robot cooperation, if any. It is also worth to taking into account how NATO adversaries are developing and employing a broad range of advanced RAS technologies, as well as employing new tactics to disrupt NATO Joint Forces military strengths and exploit perceived weaknesses. This could severely impact the freedom of maneuver and mission accomplishment with the increasing risk to Soldiers.


The proposed study aims at analyzing key issues addressing the set of objectives stated in the previous chapter, which is not so much about a singular system or technology but how to integrate varying levels of autonomy and intelligence across spatially and temporally distributed singular systems, small teams, and swarm behavior under one robust and adaptable command and control architecture while augmenting the capability of the collective beyond that of any one component within it. This study will analyze the Swarm Systems for Intelligence Surveillance & Reconnaissance (ISR) from different views: 1) The first year will focus on Operational Scenarios and ISR Applications where the Swarm is to be considered as an asset. The outcomes will be described into a Technical Note (TN) Year 1; 2) The second year will focus on services, systems and key technologies to support Operational Scenarios and ISR Applications described Year 1. The outcomes will be described into a TN Year 2; 3) The third year will integrate operational, service, system and technological views into a Reference Architecture for “Swarm System for ISR”. The outcomes of this year will be both (i) the Reference Architecture and (ii) the Final Report.


The proposed study will address, a set of key issues such as: 1) Swarm Applications Area, such as Detection & Tracking, 2) Data Fusion for perception, action, and control, 3) Swarm System Interactions, which includes (i) Robot-Robot Interaction, (ii) Human-Swarm Interaction, and (iii) Interoperability. The focus of each topic will depend on its impact on the objectives stated in par. II, and the related objective priority.

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