Backed by £57m, this programme aims to transform robotic capabilities and unlock a step change in human productivity
Breakthroughs in AI are transforming robotic abilities, but compared to staggering advances in computation, the development of robot bodies has stalled in recent decades. Today, robots cannot achieve the flexibility, speed and precision of human manipulation, rendering them useless for many of the difficult or dangerous tasks where we need them most.
The need to improve robot dexterity comes at a critical time. The proportion of the world’s population aged 65+ is set to triple by 2100, while labour deficits for physically demanding work are set to increase.
Robots have the potential to ease these labour shortages and boost prosperity but to do so we must close the gap between what robots and humans can handle.
We’re looking to fund an array of cutting-edge research across robotic hardware and advanced simulation to demonstrate a paradigm-shift in robotic abilities.
Our goal: to release the bottlenecks in robotic dexterity and create vastly more capable and useful machines.
We are also awarding opportunity seed funding in Smarter Robot Bodies, for proposals that fall outside the scope of this programme. The first call is now closed but we’ll be launching a second window for applications midway through 2025.
Additional context for this programme
TA3 Applicant resources
About ARIA funding
If you require accessible documents, please contact clarifications@aria.org.uk.
The second solicitation for this programme focused on TA3: facilitating modularity, interoperability, and common standards within robotics. We’ve recruited a team of individuals with diverse backgrounds + deep knowledge on robotics; they’ll execute a sprint campaign to advance our understanding of how greater modularity, interoperability, and common standards could unlock breakthroughs in the field.
The first solicitation for this programme focused on TA1, in which we sought R&D Creators – individuals and teams that ARIA will fund and support – to:
Applications are now closed. Creators within TA1 will be announced in due course.
Robot Dexterity has been designed and overseen by Programme Director Jenny Read with feedback from the R&D community, as part of the opportunity space Smarter Robot Bodies.
Jenny is a visual neuroscientist, previously trained in theoretical astrophysics. Her work focuses on how we can build smarter bodies for robots through new modes of sensing, transmission of sensory information, and actuation through hardware advances. Jenny joined ARIA from her role as Professor of Vision Science at Newcastle University.