Project overview
The aim of this project was to understand the contextual factors and technical approaches underlying trustworthy human-swarm teams.
The project drew on co-creation with partners and potential users to generate potential use cases and operator-centred requirements. AI-based algorithms were used to estimate the swarm state and provide recommendations for control actions to the human operators in extreme environments.
The trustworthiness of the system was evaluated in a user study with a proof-of-concept HAC simulation and testing platform.
Further information is available from the UKRI Trustworthy Autonomous Systems (TAS) Hub website.
Staff
Lead researcher
Other researchers
Collaborating research institutes, centres and groups
Research outputs
Jediah R. Clark, Mohammad Naiseh, Joel Fischer, Marise Galvez Trigo, Katie Parnell, Mario Brito, Adrian Bodenmann, Sarvapali D. Ramchurn & Mohammad Divband Soorati,
2022
Type: workingPaper