DFKI-LT - Affective Collaborative Robots for Safety & Crisis Management in the Field

R. Looije, M. Neerincx, Geert-Jan Kruijff
Affective Collaborative Robots for Safety & Crisis Management in the Field
1 Proceedings of the 4th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2007), Delft, The Netherlands, ISCRAM, 5/2007
The lack of human-robot collaboration currently presents a bottleneck to widespread use of robots in urban search & rescue (USAR) missions. The paper argues that an important aspect of realizing human-robot collaboration will be collaborative control, and the recognition and expression of affect. Affective collaborative robots can enhance joint human-robot performance by adapting the robot’s (social) role and interaction to the user’s affective state and the context . Current USAR robots lack these capabilities. This paper presents theory, application domains, and requirements for architectures to implement these capabilities in robots. Based on methods from cognitive architectures, affective computing, and human-robot interaction, three core functions of affective collaborative robots can be realized: sliding autonomy, affective communication, and adaptive attitude. These robot functions can substantially enhance the efficiency and effectiveness of rescue workers and meanwhile reduce their cognitive workload. Furthermore, robots with such functions can approach civilians in the field appropriately.
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