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Towards model-based robot behaviour adaptation: Successful human-robot collaboration in tense and stressful situations

Dogramadzi, S.; Pipe, A. G.; Sobhani, M. M.; Sobhani, Mohammad; Pipe, Anthony G.; Dogramadzi, Sanja; Fennell, J. G.


A. G. Pipe

M. M. Sobhani

Mohammad Sobhani

J. G. Fennell


© 2015 IEEE. In a demanding environment such as search and rescue, where human-robot collaboration provides potential benefits, understanding complex human behaviour will promote greater success. We propose that robots need to be equipped with embodied models of both human behaviour and the environment Here we emulate some conditions of a disaster area to test collaboration between a robot and human, with added environmental distraction (noise) and cognitive load. With this setup, we generate empirical data as the basis of human performance modelling, using machine learning techniques. The experiment was repeated in three phases, first to capture baseline data for the basis of the model and later comparison with the second phase, where the robot adapted its working pace based on participants' performance, and the third phase, where the robot instead provided feedback to the participant based on their performance. Results suggest that, in a situation which is tense and stressful for human, having a robot adapting its behaviour towards that of a person can improve the overall success rate of the task at hand.

Presentation Conference Type Conference Paper (Published)
Conference Name ICEE 2015 - Proceedings of the 23rd Iranian Conference on Electrical Engineering
Start Date May 10, 2015
End Date May 14, 2015
Publication Date Jul 1, 2015
Peer Reviewed Peer Reviewed
Volume 10
Pages 922-927
Book Title 2015 23rd Iranian Conference on Electrical Engineering
Keywords robot behaviour, human-robot collaboration, stress
Public URL
Publisher URL
Additional Information Title of Conference or Conference Proceedings : Iranian Conference on Electrical Engineering (ICEE) 2015