As its surroundings changes radically and climate conditions deteriorates, Europe and its Members adapt to these current challenges. To this end and in order to maximise their usability, the EC established a framework of a common policy (EU Security Market study) by categorising potential technologies per security domain, including Critical Infrastructure (CI) Protection. This trend is indicative for the importance and significancy that the EC gives to these matters. Any potential disruption, either intentional as a terrorist attack or a natural disaster, may risk smooth operations of such structures that may have a severe impact on a local society and its daily activities or well-being. Current advancements in various technologies can be particularly beneficial in CI protection especially when they can provide a timely support without the necessity of a human in the loop.


TESTUDO will provide an innovative solution for CI protection, adopting a three pillar framework:

 novel sensing components, including dynamically moving sensors using unmanned assets and fixed sensory systems, covering also remote with limited connection territories

 knowledge extraction and improvement based on AI frameworks and recent advancements of ML architectures

  prevention and prediction models to mitigate the impact and facilitate the recovery process of hazardous events

TESTUDO will deliver a novel data-driven and process-oriented surveillance and intelligence platform for increased autonomy and improved situation awareness, incorporating:

  innovative autonomous platforms comprised by a set of unmanned vehicles and individual fixed sensors

 effective transmission of heterogeneous multimodal data streams to improve the critical issue for smooth operations and the integrity of CIs

  advanced detection, monitoring and prediction tools delivering pertinent information to the operator

 virtual decision-making tool



TESTUDO aims to equip CI operators and other relevant agencies with innovative technologies reinforced with research tools for optimal response and prediction/prevention, by employing:

  Autonomous Response and Cognitive Intelligence

        •  Optimal resource allocation
        •  Threat identification by processing optronics data
        • Edge computing for limited connected unmanned vehicles
        • CBRN materials identification
        • Autonomous response on cyber-attack identifications

  Improved HMI for critical infrastructure surveillance

        • Optimized 3D terrain and infrastructure mapping
        • Fusion schemes of numerous modalities for improved data representation
        • Threat assessment via XAI technologies
        • Predictive intelligence and improved HMI via Digital Twins

  Short and long-term deployment for large-scale and cross-sectorial trials

        • Validation of the proposed solutions in a series of use-cases


TESTUDO Architecture image


Networking equipment image

Connected laptops, dedicated routers, wireless equipment and cabling

UGV #1 image

Light-weight rover
Weight: 16 kg
Size: 95x56x50 cm
Energy autonomy: 5 hr
High mobility

UGV #2 image

Weight: 50kg
Size: 100x60x60cm
Max speed: 6,5km/h
Manipulator lift: up to 15kg
Battery time: ~1h
High mobility

Weight: 32.7 kg
Size: 110x50x61cm
Max speed: 1.6 m/s
Battery time: ~1,5h
High mobility
Boston Dynamics Spot

Weight: 65kg
Size: 72x61x85cm
Max speed: 3m/s, Load capacity: 50kg
Energy autonomy: 5 hr
Robotnik SUMMIT-XL

UAV #1 image

Average flight time: 25 min
Max payload weight: 5kg
Max take-off weight: 16kg
ACCELI Cerberus

UAV #2 image

Average flight time: 60 min
Max take-off weight: 3kg
Wing Span: 14,4 cm
Fuselage: 5,2 cm
Speed: 16 m/s
ACCELI Dioptra

UAV #3 image

Tethered high-altitude sensor carrier platform for 24×7 operation

LiDAR sensors

XR technologies image

Open XR compatible headset with head, hand and eye tracking capabilities,

Call HORIZON-CL3-2022-INFRA-01-02
Start date 01/10/2023
End date 30/09/2026
GA no. 101121258
Coordinator Centre for Research & Technology Hellas (CERTH)