Fostering Robust Human-Robot Collaboration through AI Task Planning

Recent advances in Artificial Intelligence (AI) are facilitating the deployment of intelligent systems in manufacturing. In Human-Robot Collaboration (HRC), industrial robots offer accuracy and efficiency while humans guarantee both experience and specialized and not replaceable skills. The seamless coordination of such different abilities constitutes one of the current challenges. This paper presents a dynamic task sequencing system for robust HRC developed within a EU-funded project. The proposed solution uses AI techniques to deal with the temporal variance entailed by the active presence of humans as well as to dynamically adapt task plans according to actual behavior of the pair human-worker/robot. The tool has been deployed in a real pilot plant.

Tipo Pubblicazione: 
Articolo
Author or Creator: 
Cesta, Amedeo
Orlandini, Andrea
Umbrico, Alessandro
Source: 
Procedia CIRP 72 (2018): 1045–1050. doi:10.1016/j.procir.2018.03.022
info:cnr-pdr/source/autori:Cesta, Amedeo; Orlandini, Andrea; Umbrico, Alessandro;/titolo:Fostering Robust Human-Robot Collaboration through AI Task Planning/doi:10.1016/j.procir.2018.03.022/rivista:Procedia CIRP/anno:2018/pagina_da:1045/pagina_a:1050/inte
Date: 
2018
Resource Identifier: 
http://www.cnr.it/prodotto/i/389339
https://dx.doi.org/10.1016/j.procir.2018.03.022
info:doi:10.1016/j.procir.2018.03.022
https://doi.org/10.1016/j.procir.2018.03.022
Language: 
Eng
ISTC Author: 
Ritratto di AndreA Orlandini
Real name: 
Ritratto di Amedeo Cesta
Real name: