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Preserving compliance during emergent behaviour in human-robot team scenarios
As humans adapt and familiarise with their cobot teammates, emergent work patterns and behaviours are likely to evolve and be subject to change. Similarly, augmentations to the co-bots workflow patterns may emerge from AI-driven adaptations to the human operator’s own changing patterns and behaviours, or simply due to upgrades to the system, or changes to the underlying working conditions. This presents the challenge of both balancing the need to maintain and monitor potentially stringent compliance requirements, while also allowing sufficient scope for the human-robot collaboration to adapt to the needs of the task, and to establish efficient collaborative workflows. This project will explore strategies to account for such needs and keep process outputs within the bounds of compliance.
Principal Supervisor: Dr Michelle Dunn