Home Communication News Back New search Date Min Max Aeronautics Automotive Corporate Cybersecurity Defense and Security Financial Healthcare Industry Intelligent Transportation Systems Digital Public Services Services Space Industry Passion Motorbike Factory-Scoobic and GMV are transforming last-mile delivery with a sustainable autonomous mobility solution 10/06/2024 Print Share Passion Motorbike Factory-Scoobic, an innovative electric mobility company, and GMV have announced their partnership in a groundbreaking project to automate last-mile delivery in urban settings. This ambitious project, funded by the Ministry for Digital Transformation and the Civil Service,, through the UNICO SECTORIAL 5G 2022 Program as part of the Recovery, Transformation, and Resilience Plan, aims to establish the technical foundations needed for a new business model based on autonomous mobility, energy efficiency, and data management through a pay-per-use approach, all using 5G technology as the backbone.The main goal of the project is to develop a last-mile electric vehicle integrated with an autonomous vehicle control system to open up the possibilities of unassisted asset movement in urban areas for logistics companies with a pay-per-use cost structure. 5G technology enables real-time communications, security, and minimal latency, facilitating autonomous vehicle movement in controlled urban areas. These vehicles, similar to mobile robots, will carry out various delivery tasks, improving the social, economic, and environmental sustainability of the entire solution thanks to the application of artificial intelligence and uPathWay, GMV’s cloud-based robot management software platform.Technological development and project benefitsThe project’s main lines of development include the design and testing of a Scoobic last-mile electric vehicle with autonomous capabilities. In addition, a management platform integrated with other systems will be created, using 5G and artificial intelligence algorithms for vehicle control and facilitating the management of a multi-tenant fleet (software architecture that allows a single software instance to serve many customers) on a pay-per-use basis. Robust cybersecurity mechanisms will also be implemented from the design phase to protect the new autonomous vehicle ecosystem.This project will have a positive impact at various levels. In economic terms, it will provide logistics companies with a cost-effective solution for goods transport in urban areas, with a cost model based on pay-per-use. This will significantly reduce initial and recurring costs, increasing market competitiveness. From an environmental point of view, reducing carbon emissions in urban settings will contribute to greater sustainability and improved quality of life. As for technology, the final product has a high potential for transfer to other sectors, such as agriculture, automotive, and healthcare, where the autonomous movement of vehicles can provide numerous benefits.Through this partnership, Passion Motorbike Factory-Scoobic and GMV are not only radically transforming last-mile delivery but also laying the groundwork for a more sustainable and efficient mobility ecosystem. The integration of advanced technologies such as 5G and artificial intelligence will help cities become cleaner and more connected, benefiting both businesses and city residents.The “Scoobic MED: 5G Autonomous Electric Logistics Vehicle in smart pay-per-use” project has been funded by the Ministry for Digital Transformation and Public Function, through the UNICO SECTORIAL 5G 2022 Program as part of the Recovery, Transformation, and Resilience Plan. This project has a total budget of €2,950,594, of which €1,770,356 are grant funds. The main recipients are Passion Motorbike Factory S.L in cooperation with Scoobic Urban Mobility S.L, with GMV as subcontractor. Print Share Related Industry AgriTech Expo 26 Nov - 28 Nov Industry The future of sustainability, artificial intelligence, and defense 21 Nov 9:00 a.m. to 1:00 p.m. Industry Living Lab ALIA 26 Nov 10:30 a.m. - 2:00 p.m.