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.RO2024
CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation
Aayush Jain, Philip Long, Valeria Villani +2
Mass customization and shorter manufacturing cycles are becoming more important among small and medium-sized companies. However, classical industrial robots struggle to cope with p…