| 1. |
- Di Lello, Enrico, et al.
(författare)
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Augmented Switching Linear Dynamical System Model for Gas Concentration Estimation with MOX Sensors in an Open Sampling System
- 2014
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Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 14:7, s. 12533-12559
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Tidskriftsartikel (refereegranskat)abstract
- In this paper, we introduce a Bayesian time series model approach for gas concentration estimation using Metal Oxide (MOX) sensors in Open Sampling System (OSS). Our approach focuses on the compensation of the slow response of MOX sensors, while concurrently solving the problem of estimating the gas concentration in OSS. The proposed Augmented Switching Linear System model allows to include all the sources of uncertainty arising at each step of the problem in a single coherent probabilistic formulation. In particular, the problem of detecting on-line the current sensor dynamical regime and estimating the underlying gas concentration under environmental disturbances and noisy measurements is formulated and solved as a statistical inference problem. Our model improves, with respect to the state of the art, where system modeling approaches have been already introduced, but only provided an indirect relative measures proportional to the gas concentration and the problem of modeling uncertainty was ignored. Our approach is validated experimentally and the performances in terms of speed of and quality of the gas concentration estimation are compared with the ones obtained using a photo-ionization detector.
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| 2. |
- Di Lello, Enrico, et al.
(författare)
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Robotic furniture in a smart environment : the PEIS table
- 2009
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Ingår i: Workshops Proceedings of the 5th International Conference on Intelligent Environments. - Amsterdam : IOS Press. - 9781607500568 ; , s. 185-192
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Konferensbidrag (refereegranskat)abstract
- According to a recent trend, robotic technologies will be included into domestic environments in the form of simple, networked robotic devices able to cooperate in the performance of tasks. These devices may take the form of smart appliances, distributed sensors, or robotic furniture. In this paper, we describe the design of an autonomous robotic table and its inclusion in a smart environment, the PEIS Ecology. The design takes into account the constraints posed by the domestic environment. The robotic table can perform autonomous point-to-point navigation, and it can collaborate with the other devices in the ecology to perform complex tasks that go beyond simple navigation.
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| 3. |
- Di Lello, Enrico, et al.
(författare)
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The PEIS table : an autonomous robotic table for domestic environments
- 2011
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Ingår i: Automatika. - : Croatian Society for Communications, Computing, Electronics, Measurement and Control. - 0005-1144 .- 1848-3380. ; 52:3, s. 244-255
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Tidskriftsartikel (refereegranskat)abstract
- There are two main trends in the area of home and service robotics. The classical one aims at the developmentof a single skilled servant robot, able to perform complex tasks in a passive environment. The second, more recenttrend aims at the achievement of complex tasks through the cooperation of a network of simpler robotic devicespervasively embedded in the domestic environment. This paper contributes to the latter trend by describing the PEISTable, an autonomous robotic table that can be embedded in a smart environment. The robotic table can operatealone, performing simple point-to-point navigation, or it can collaborate with other devices in the environment toperform more complex tasks. Collaboration follows the PEIS Ecology model. The hardware and software designof the PEIS Table are guided by a set of requirements for robotic domestic furniture that differ, to some extent, fromthe requirements usually considered for service robots.
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| 4. |
- Di Lello, Enrico, et al.
(författare)
-
The PEIS table : an autonomous robotic table for domestic environments
- 2009
-
Konferensbidrag (refereegranskat)abstract
- Two main trends are emerging in the area of home and service robotics. The classical one aims at the development of a single skilled servant robot, able to perform complex tasks in a passive environment. The second, more recent trend aims at the achievement of domestic tasks through the cooperation of a network of simpler robotic devices pervasively embedded in the environment. This paper contributes to the latter trend by describing the PEIS Table, a robotic table that can be embedded in a domestic environment and perform autonomous navigation tasks. The PEIS Table can operate alone, or it can be part of a smart robotic environment, based on the concept of PEIS Ecology, and cooperate with other devices to perform more complex tasks. The hardware construction and navigation software of the PEIS Table are guided by a set of requirements for robotic domestic furniture. Interestingly, these are not the same as the requirements usually considered for service robots.
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