Funded under the Horizon 2020 Marie Skłodowska-Curie actions, the PERSEO Innovative Training Network will train Early Stage Researchers on Personalized Robotics as Service Oriented applications, responding to emerging challenges concerning the need for robot behaviour with a high level of personalisation.
The aim of PERSEO is to have a cloud repository of robot behaviours that allows an easy personalised configuration approach. This requires the investigation of different robot capabilities to adequately understand and model the human–robot interaction and adapt the robot’s behaviour to the context. Hence, researchers in computer science, philosophy, and psychology will study how robotics technology can be personalised on the physical, cognitive and social levels.
Ortelio will be employing a PhD candidate in the context of PERSEO, who will work on cloud enabled robot autonomy through a cloud-based, GPU compatible SLAM library.
Funded under the Horizon 2020 “Smart, Green and Integrated Transport” Programme, the AW-Drones project aims to facilitate the on-going European Union regulatory process for the definition of rules, technical standards and procedures for drones.
AW-Drones will provide a knowledge-base of “best practices” to support the European Aviation Safety Agency (EASA)’s regulatory process, and contribute to the identification and validation of a well-reasoned set of technical standards for operations, appropriate for all relevant categories of drones. The standards will be presented into an easy-to-navigate knowledge platform, open to all stakeholders.
Ortelio is involved in all phases of the project and is responsible for developing the AW-Drones knowledge platform.
Funded under the Horizon 2020 “Smart, Green and Integrated Transport” Programme, the NOESIS project identified the critical factors/features which lead to the successful implementation of Big Data technologies and services in the field of transport and logistics with significant value generation from a socioeconomic viewpoint.
This was achieved through the examination of areas and contexts throughout Europe, in which ICT investments and exploitation of data are implemented. The impact of Big Data was evaluated in a series of transportation use cases (Big Data in Transport Library) by developing and applying a ‘Learning framework’ and a Value Capture mechanism which will estimate the expected benefits and costs.
Ortelio was the project coordinator of NOESIS, being involved in all key phases of the project, and leading the development of the Big Data Decision Support tool for identifying the underlying patterns of “successful” applications of Big Data in transport.
Funded under the Horizon 2020 “Smart, Green and Integrated Transport” Programme, the NEWBITS project aim was to provide a deep understanding of the changing conditions and dynamics affecting Collaborative Intelligent Transport System innovations.
NEWBITS fosters a business ecosystem approach for C-ITS which acknowledges the context of economics of networks by introducing a higher conceptual level than that of individual organisations, focusing at how organisations create value within the context of the networks in which they interoperate.
Ortelio is the project coordinator of NEWBITS, being involved in all key phases of the project, and leading the innovative business modeling implementing a Value Network Analysis (VNA) approach.