Abstract
Human-robot teamwork requires agents to pay attention to both surrounding environment and teammates. Bandwidth and computational limitations prevent an agent to continuously execute this monitoring activity. Inspired by the behavior of human beings, paying frequent attention to timers while approaching deadlines, we provide robots with general monitoring strategies based on attentional mechanisms, for filtering data and actively focusing only on relevant information. We consider a convoy task (led by a human or a robot) as a benchmark to evaluate and compare human and robot monitoring behaviors.
The research leading to these results has received funding from the EU FP7 as part of the project SAPHARI under grant 287513, and SHERPA under grant 600958.
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Rossi, S., Staffa, M. (2014). Human Inspiration and Comparison for Monitoring Strategies in a Robotic Convoy Task. In: del Pobil, A.P., Chinellato, E., Martinez-Martin, E., Hallam, J., Cervera, E., Morales, A. (eds) From Animals to Animats 13. SAB 2014. Lecture Notes in Computer Science(), vol 8575. Springer, Cham. https://doi.org/10.1007/978-3-319-08864-8_30
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DOI: https://doi.org/10.1007/978-3-319-08864-8_30
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