Fleetonomy a winner of the MOD Last Mile Challenge

The British Ministry of Defence (MOD) set industry and academia a challenge to design pioneering technology to get vital supplies to soldiers on the front line and the winners have now been chosen. 

Fleetonomy proposed to develop an Uber-style drone delivery service enabling supply operators to command and control a fleet of unmanned air vehicles, undertaking simultaneous last mile missions. This state-of-the-art project will ultimately reduce the resource burden to dismounted soldiers whilst providing accurate, pace-driven, local context-based and rapid re-supply into congested urban environments.

As announced by Minister for Defence Procurement Harriett Baldwin the MOD Last Mile Challenge sought innovative approaches to support front line troops. The Fleetonomy project will demonstrate how to increase the flexibility, agility and effectiveness of front line troops by leveraging autonomous fleets whilst simultaneously providing fused sensor data to decision-makers.

More than 140 organisations from small and medium-sized enterprises to big defence companies submitted entries for the Last Mile challenge. MOD’s Defence Science and Technology Laboratory (Dstl) with the Defence and Security Accelerator (DASA) funded the contracts. 25 projects were chosen from organisations from the UK and worldwide.

Fleetonomy is very proud to be one of the winners of the Challenge as this strengthens our mission to accelerate the adoption of unmanned automated ground and aerial vehicles in urban environments. Fleetonomy is pleased to be supported by I-BDM and Bays Consulting in this project.

Dan Davies of i-BDM says “i-BDM is excited to be working on this project and brings forward commercial experience and strategic business development to ensure the Phase 1 development has every chance of exploitation within both defence and commercial sectors”

Sophie Carr of Bays Consulting says “”Bays Consulting is providing analytical and decision-making expertise to ensure the Phase 1 development draws upon best practice from the defence, academia and commerce to develop a holistic understanding of how Project Workhorse could be used and exploited across industry sectors.”

To find out more details about this exciting Last Mile Challenge Project, please see the Dstl Press release:

www.gov.uk/government/news/autonomy-on-the-frontline-last-mile-challenge-winners-announced

Fleetonomy Takes Part in Automated Remotely Operated Bus Technology Consortium Robusta


ROBUSTA
 develops novel approaches to the automation of transportation systems. The project will test and study technologies that enable the removal of the human operator from the bus putting him in the control room with the responsibility of multiple vehicles. The key objective is to create a remote drive system that allows the use of semi-autonomous buses, and later other autonomous vehicles in urban traffic conditions.

Specific research and development themes include the creation of a software platform to enable the  remote control of robot buses, 5G networks as an enabler technology, real-time sensor data, AI-assisted human-machine communication, the development of a remote control room, in addition to exploring how autonomous vehicles could be fitted to existing mobility ecosystems. It also looks into what the future business benefits are and assesses the user experience of both passengers and remote operators.

Specific attention will be put on the development of remote operation systems and interfaces that are easy and intuitive for humans to operate, and yet reliable and robust enough to provide the necessary functionality and safety.

More information and updates:
http://www.robusta.fi/
http://www.robusta.fi/arkistot/press-release-may-8th-2017

 

Accelerating Adoption of Automated Vehicles in Urban Environments

Fleetonomy.ai develops software platforms for remote operating systems of automated vehicle fleets for vehicle fleet operators. The platform manages key issues in the automated vehicle operator environment including regulation, exception management and responsibility management.

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