Design of Timeline-Based Planning Systems for Safe Human-Robot Collaboration

During the last decade, industrial collaborative robots have entered assembly cells supporting human workers in repetitive and physical demanding operations. Such human-robot collaboration (HRC) scenarios entail many open issues. The deployment of highly flexible and adaptive plan-based controllers is capable of preserving productivity while enforcing human safety is then a crucial requirement. The deployment of plan-based solutions entails knowledge engineers and roboticists interactions in order to design well-suited models of robotic cells considering both operational and safety requirements. So, the ability of supporting knowledge engineering for integrating high level and low level control (also from non-specialist users) can facilitate deployment of effective and safe solutions in different industrial settings. In this chapter, we will provide an overview of some recent results concerning the development of a task planning and execution technology and its integration with a state of the art Knowledge Engineering environment to deploy safe and effective solutions in realistic manufacturing HRC scenarios. We will briefly present and discuss a HRC use case to demonstrate the effectiveness of such integration discussing its advantages.

Publication type: 
Contributo in volume
Author or Creator: 
Orlandini
Andrea
Cialdea Mayer
Marta
Umbrico
Alessandro
Cesta
Amedeo
Publisher: 
Springer, Cham, Heidelberg, New York, Dordrecht, London, CHE
Source: 
, pp. 231–248. Cham, Heidelberg, New York, Dordrecht, London: Springer, 2020
info:cnr-pdr/source/autori:Orlandini, Andrea and Cialdea Mayer, Marta and Umbrico, Alessandro and Cesta, Amedeo/titolo:Design of Timeline-Based Planning Systems for Safe Human-Robot Collaboration/titolo_volume:/curatori_volume:/editore:
Date: 
2020
Resource Identifier: 
http://www.cnr.it/prodotto/i/421860
https://dx.doi.org/10.1007/978-3-030-38561-3_12
info:doi:10.1007/978-3-030-38561-3_12
https://doi.org/10.1007/978-3-030-38561-3_12
urn:isbn:978-3-030-38561-3
Language: 
Eng