Attentive Monitoring for Team Coordination: a Human-Robot Convoy Example

SIlvia Rossi, Mariacarla Staffa, Antonio Adaldo, Francesco Alderisio, Vito Magnanimo

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

Convoy driving requires both the leader and the follower to accomplish the task. Namely, also the leader has to monitor the following agents behavior and to adapt its own in order to not outdistance them. Our working hypothesis is that effective teamwork can be achieved by adapting periodic monitoring strategies. Inspired by the behavior of human beings, we adopted attentional mechanisms for filtering data and actively focusing the monitoring only on relevant information and agent behaviors. The robotic convoy task is accomplished via a behavior-based control architecture endowed with attentional mechanisms producing a variable frequency of the monitoring. In this paper, we consider a convoy task as a benchmark to evaluate and compare human and robot monitoring behaviors. We illustrate the various parts of the control architecture as well as present and discuss the results of experiments performed in a real world scenario with humans and robots.
Original languageEnglish
Title of host publicationAutonomous Robots and Multirobot Systems (ARMS 2014)
Number of pages18
Publication statusPublished - 2014

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