Benvenuti nell'Anagrafe della Ricerca d'Ateneo
La valutazione delle attività di ricerca che si svolgono nelle università ha assunto un'importanza rilevante sia per l'intero sistema universitario sia all'interno di ogni singolo ateneo. Roma Tre si è quindi dotata di idonei strumenti informativi in grado di supportare al meglio le azioni di monitoraggio e di valutazione delle attività di ricerca svolte nei propri dipartimentied ha realizzato una Anagrafe della Ricerca di Ateneo.
EnglishDuring 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.
Orlandini, A., Cialdea Mayer, M., Umbrico, A., & Cesta, A. (2020). Design of Timeline-Based Planning Systems for Safe Human-Robot Collaboration. In D.K. Mauro Vallati (a cura di), Knowledge Engineering Tools and Techniques for AI Planning (pp. 231-248). Springer [10.1007/978-3-030-38561-3_12].
| Titolo: | Design of Timeline-Based Planning Systems for Safe Human-Robot Collaboration | |
| Autori: | ||
| Data di pubblicazione: | 2020 | |
| Citazione: | Orlandini, A., Cialdea Mayer, M., Umbrico, A., & Cesta, A. (2020). Design of Timeline-Based Planning Systems for Safe Human-Robot Collaboration. In D.K. Mauro Vallati (a cura di), Knowledge Engineering Tools and Techniques for AI Planning (pp. 231-248). Springer [10.1007/978-3-030-38561-3_12]. | |
| Handle: | http://hdl.handle.net/11590/363449 | |
| ISBN: | 978-3-030-38560-6 | |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
File in questo prodotto:
Copyright © 2021