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- Bonaccorsi, Manuele, et al.
(författare)
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Design of cloud robotic services for senior citizens to improve independent living in multiple environments
- 2015
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Ingår i: Intelligenza Artificiale. - : IOS Press. - 1724-8035. ; 9:1, s. 63-72
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Tidskriftsartikel (refereegranskat)abstract
- The paper proposed a cloud robotic solution for the healthcare management of senior citizens, to demonstrate the opportunity to remotely provide continuous assistive robotic services to a number of seniors regardless to their position in the monitored environment. In particular, a medication reminding, a remote home monitoring and an user indoor localization service were outsourced in the cloud and provided to the robots, users and caregivers on request. The proposed system was composed of a number of robotic agents distributed over two smart environments: a flat at the Domocasa Lab (Peccioli, IT) and a condominium at the Angen site of the Orebro science park (Orebro, SE). The cloud acquired data from remote smart environments and enabled the local robots to provide advanced assistive services to a number of users. The proposed smart environments were able to collect raw data for the environmental monitoring and the localization of the users by means of wireless sensors, and provide such data to the cloud. On the cloud, specific algorithms improved the local robots, by providing event scheduling to accomplish assistive services and situation awareness on the users position and environments’ status. The indoor user localization service, was provided by means of commercial and ad-hoc sensors distributed over the environments and a sensor fusion algorithm on the cloud. The entire cloud solution was evaluated in terms of Quality of Service (QoS) to estimate the effectiveness of the architecture.
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| 3. |
- Bouguerra, Abdel, et al.
(författare)
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PC-SHOP : a probabilstic-conditional hierarchical task planner
- 2005
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Ingår i: Intelligenza Artificiale. - 1724-8035. ; 2:4, s. 44-50
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Tidskriftsartikel (refereegranskat)abstract
- In this paper we report on the extension of the classical HTN planner SHOP to plan in partially observable domains with uncertainty. Our algorithm PC-SHOP uses belief states to handle situations involving incomplete and uncertain information about the state of the world. Sensing and acting are integrated in the primitive actions through the use of a stochastic model. PC-SHOP is showed to scale up well compared to some of the state-of-the-art planners. We outline the main characteristics of the algorithm, and present performance results on some problems found in the literature.
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| 4. |
- Dellacqua, Pierangelo, et al.
(författare)
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Empathetic human-agent interaction via emotional behavior trees
- 2023
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Ingår i: INTELLIGENZA ARTIFICIALE. - : IOS PRESS. - 1724-8035. ; 17:1, s. 89-100
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Tidskriftsartikel (refereegranskat)abstract
- To the aim of constructing effective human-AI teams, that can be useful for improving caregiving in medicine and enhancing human performance also in other sectors (i.e., teaching), agents which interact with humans should be endowed with an emotion recognition and management module, capable of empathy, and of modeling aspects of the Theory of Mind, in the sense of being able to reconstruct what someone is thinking or feeling. In this paper, we propose an architecture for such a module, based upon an enhanced notion of Behavior Trees. We illustrate the effectiveness of the proposed architecture on a significant example and on a wider case study.
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