The commercial prospects for uncrewed aircraft systems (UAS), also referred to as unmanned aircraft systems, are currently limited by persistent issues around safety. Cracking the conundrum of regulatory obstacles – related to societal acceptance – offers the keys to the future.

We believe that the answer lies in a new generation of automated, collaborative uncrewed aerial vehicle (UAV) fleets with pilots on the loop, not in the loop. In fact, we are sure of it – and we’ve invested in a live working demo to support the thesis.

This Innovation Briefing reveals details of that drone fleet demonstration, exciting prospective commercial use cases and the business opportunities these present for ambitious operators.

The paper focuses on three take-aways:

  • A ground-breaking application of autonomy is ready to accelerate the public acceptance and commercial viability of UAVs, transforming safety, reliability and trust

  • Advances in drone AI have unlocked a new paradigm of collaborative autonomous UAVs that are able to share tasks and respond to dynamic environments through a dynamic hierarchy of command and control

  • The unprecedented levels of teamwork will elevate current commercial applications, enable new levels of drone navigation, and unleash a new generation of novel use cases offering significant business advantage

UAV Innovation Briefing cover

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Martin Cookson
Author
Martin Cookson
Director of Digital Service Innovation

Martin works with clients to help realise their ambition in developing digital services encompassing AI, UX, web 3, cloud computing and network native. He has 30+ years’ experience working in innovation with international clients and applying new technologies to bring new services live. Martin holds an MSc in Software Engineering.

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Sam Turner headshot
Author
Sam Turner
Associate Director, Wireless & Digital Services

Sam brings decades of experience in system engineering and embedded software design in a variety of wireless technologies, from satellite telephony to personal area networks, and in applications from high-end audio to ultra-low power medical devices. He has an MA in Mathematics and a PhD in Applied Mathematics.

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Author
Stewart Marsh
Head of Aerospace, Cambridge Consultants

Stewart helps companies achieve technology breakthroughs that unlock transformative business value, including a world-first Push-to-Talk satellite service and a beyond visual line-of-sight UAV solution using low power satellite technology. He has 20 years’+ experience in aerospace and telecommunications. Stewart holds a BSc in Computer Science and Electronics and is a Chartered Engineer.

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Joe Smallman headshot
Author
Joe Smallman
Technical Lead, AI and Algorithms

Joe specialises in developing real-time AI solutions within the fields of machine vision and robotics. In recent years he has focussed on translating ground-breaking advances in reinforcement learning from academia to a broad range of industrial robotic applications. Joe holds a MPhys in Physics and a PhD in Experimental Physics.

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Kiran Ikram headshot
Author
Kiran Ikram
Senior AI Engineer

Kiran specialises in applying multi-agent reinforcement learning to domains where autonomous agents must learn to achieve complex tasks in a collaborative manner. Her prior work was on applying such methods in the renewable energy space. Kiran holds an MSc in AI and is currently completing a PhD in Reinforcement Learning.

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Chris Bourbeau
Author
Christopher Bourbeau
VP of North America Aerospace

Chris helps companies achieve complex breakthroughs through the intersection of innovation, end-user requirements, and commercial opportunity. He has 25 years+ of defence and commercial aerospace experience; from serving on the front-line of land, air, sea, and space, to developing business strategies for major companies. Chris holds an MBA and BSc in Technology Information Systems Management.

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