Towards Adaptive Worker Assistance in Monitoring Tasks

Agile product development cycles and re-configurable Industrial Internet of Things (IIoT) allow more flexible and resilient industrial production systems that can handle a broader range of challenges and improve their productivity. Reinforcement Learning (RL) was shown to be able to support industrial production systems to be flexible and resilient to respond to changes in real time. This study examines the use of RL in a wide range of adaptive cognitive systems with IIoT-edges in manufacturing processes. We propose a cognitive adaptive system using IIoT with RL (CAS-IIoT-RL) and our experimental analysis showed that the proposed model showed improvements with adaptive and dynamic decision controls in challenging industrial environments.

show abstract

Towards Adaptive Worker Assistance in Monitoring Tasks

Cited by 3 publications

References 18 publications

Work Autonomy and Adaptive Digital Assistance in Flexible Working Environments

Work Autonomy and Adaptive Digital Assistance in Flexible Working Environments

A human factors-aware assistance system in manufacturing based on gamification and hardware modularisation

Cognitive Adaptive Systems for Industrial Internet of Things Using Reinforcement Algorithm

Contact Info

Product

Resources

About