ROBORDER will generate technical outputs with significant impact to the field of border security. During the development of the project an impact assessment model will be developed to estimate the technical impacts of the ROBORDER implementation. Being developed by the consortium, these outputs will impact first-hand the involved consortium. Through communication and dissemination, these will also reach out to the scientific and operational communities in the field.

  • Provide an overall border security solution

ROBORDER’s main objective is to develop heterogeneous robotic teams of multiple UxVs of different sizes and abilities for maritime, land and air environments. The members of the team will be equipped with proper modules for reconfigurable network communications so that they could maximize their capabilities in exchanging information. In addition, towards that purpose, each platform will integrate a variety of multiple sensors for completing security and detection tasks.

  • Enabling response to threats within minutes

The system will be deployable within minutes by enabling and operating the UxV assets quickly and accurately. The integration of CISE-compatible information and other relevant inter-organization infrastructures will decrease the response time of the corresponding authorities in possible threats.

  • Effective operation of heterogenous multi-asset system by a single operator

ROBORDER will develop technologies in order to automatically detect and efficiently recognize threats of various types. The system will integrate an improved decision support module for assessing the border authorities in complex decision making tasks. Advanced features for user-experience will also be embodied so that the large number of assets could be managed by a single operator.

  • Improved payloads and contributions to UxV cyber-security

The ROBORDER project intends to exploit sensory data for the detection and tracking of unauthorized RF signals. The collected data will be monitored for communications onboard the unmanned platforms so that cyber-security techniques could be applied and protect the relevant equipment from undesirable operations.

  • Photonic radar network

For accurate system response, the ROBORDER will design and develop a radar network core based on photonics as well as the required decentralized radar peripherals. Signal processing techniques for multistatic and multiband radar detection, tracking and imaging will enhance the overall efficiency of the system in threat detection.

  • Passive radar onboard UAV

The project aims at inserting multiple advances in hardware development relevant to detection objectives. As a result, compact size/low weight passive radar hardware module will be developed and laboratory tested for hardware optimization. Antennas will be developed to fit on small size carrying platforms while signal processing issues will be addressed due to moving receivers.

  • Improved automatic threat recognition and identification of cyber physical attacks

Improved image recognition algorithms will be implemented for both the optical cameras and the photonics coastal radar network so that accurate and efficient automatic recognition could be achieved. The relevant ROBORDER modules will enhance the detection accuracy by deploying advanced high and low level combined fusion algorithms. Statistical and deep learning algorithms will be also exploited to prevent undesirable cyber-attacks.