Human-Robot Collaborative Navigation Search Using Social Reward Sources

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Human-Robot Collaborative Navigation Search Using Social Reward Sources

Dalmasso, Marc / Garrell, Anaís / Jiménez, Pablo / Sanfeliu, Alberto

This paper proposes a Social Reward Sources (SRS) design for a Human-Robot Collaborative Navigation (HRCN) task: human-robot collaborative search. It is a flexible approach capable of handling the collaborative task, human-robot interaction and environment restrictions, all integrated on a common environment. We modelled task rewards based on unexplored area observability and isolation and evaluated the model through different levels of human-robot communication. The models are validated through quantitative evaluation against both agents’ individual performance and qualitative surveying of participants’ perception. After that, the three proposed communication levels are compared against each other using the previous metrics.

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Dokumentinformationen

Titel :

Human-Robot Collaborative Navigation Search Using Social Reward Sources

Weitere Titelangaben:

Advs in Intelligent Syst., Computing

Beteiligte:

Silva, Manuel F. (Herausgeber:in) / Luís Lima, José (Herausgeber:in) / Reis, Luís Paulo (Herausgeber:in) / Sanfeliu, Alberto (Herausgeber:in) / Tardioli, Danilo (Herausgeber:in) / Dalmasso, Marc (Autor:in) / Garrell, Anaís (Autor:in) / Jiménez, Pablo (Autor:in) / Sanfeliu, Alberto (Autor:in)

Kongress:

Iberian Robotics conference ; 2019 ; Porto, Portugal November 20, 2019 - November 22, 2019

Erschienen in:

Robot 2019: Fourth Iberian Robotics Conference ; Kapitel : 8 ; 84-95

Advances in Intelligent Systems and Computing ; 1093

Erscheinungsdatum :

2019-11-20

Format / Umfang :

12 pages

ISBN :

978-3-030-36150-1 , 978-3-030-36149-5

ISSN :