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Scalable Co-optimization of Collective Robotic Mobility and the Artificial Environment

Project description

Paving the way for an environment conducive to robotic mobility

Autonomous agents – such as robots and driverless cars – need to collaborate and cooperate when they are working together in shared spaces, such as warehouses or traffic systems. But to make progress in this area, we need to stop trying to shoehorn the robot mobility systems of the future into the transport environments of the past. Up to now, there has been a disconnect between the optimisation of mobile robots and their immediate environment. The EU-funded gAIa project will study this environment, which is as much a variable as the robot itself. By identifying more conducive and efficient environments, the project will help improve collective robot policies. The findings will impact transport planning and urban design, facilitating a new path towards mobile vehicles that are connected and coordinated. Overall, the project’s aim is to shed light on the coupling between environmental structure and collective robotic mobility.

Host institution

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Net EU contribution
€ 1 495 338,00
Address
Trinity Lane The Old Schools
CB2 1TN Cambridge
United Kingdom

See on map

Region
East of England East Anglia Cambridgeshire CC
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00

Beneficiaries (1)

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
United Kingdom
Net EU contribution
€ 1 495 338,00
Address
Trinity Lane The Old Schools
CB2 1TN Cambridge

See on map

Region
East of England East Anglia Cambridgeshire CC
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00