3 papers
cs.HC2025
Managing the unexpected: Operator behavioural data and its value in predicting correct alarm responses
Chidera W. Amazu, Joseph Mietkiewicz, Ammar N. Abbas +5
Data from psychophysiological measures can offer new insight into control room operators' behaviour, cognition, and mental workload status. This can be particularly helpful when co…
cs.RO2024
Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach
Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis +4
This study presents a novel methodology incorporating safety constraints into a robotic simulation during the training of deep reinforcement learning (DRL). The framework integrate…
cs.AI2024
Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies
Ammar N. Abbas, Chidera W. Amazu, Joseph Mietkiewicz +7
In complex industrial and chemical process control rooms, effective decision-making is crucial for safety and efficiency. The experiments in this paper evaluate the impact and appl…