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International Journal of Social Robotics

Published in:

16-04-2019

Can Human-Inspired Learning Behaviour Facilitate Human–Robot Interaction?

Authors: Alessandro Carfì, Jessica Villalobos, Enrique Coronado, Barbara Bruno, Fulvio Mastrogiovanni

Published in: International Journal of Social Robotics | Issue 1/2020

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Abstract

The evolution of production systems for smart factories foresees a tight relation between human operators and robots. Specifically, when robot task reconfiguration is needed, the operator must be provided with an easy and intuitive way to do it. A useful tool for robot task reconfiguration is Programming by Demonstration (PbD). PbD allows human operators to teach a robot new tasks by showing it a number of examples. The article presents two studies investigating the role of the robot in PbD. A preliminary study compares standard PbD with human–human teaching and suggests that a collaborative robot should actively participate in the teaching process as human practitioners typically do. The main study uses a wizard of oz approach to determine the effects of having a robot actively participating in the teaching process, specifically by controlling the end-effector. The results suggest that active behaviour inspired by humans can lead to a more intuitive PbD.

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Title: Can Human-Inspired Learning Behaviour Facilitate Human–Robot Interaction?
Authors: Alessandro Carfì
Jessica Villalobos
Enrique Coronado
Barbara Bruno
Fulvio Mastrogiovanni
Publication date: 16-04-2019
Publisher: Springer Netherlands
Published in: International Journal of Social Robotics / Issue 1/2020
Print ISSN: 1875-4791
Electronic ISSN: 1875-4805
DOI: https://doi.org/10.1007/s12369-019-00548-5

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