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F. Spinosa

dblp:185/2108 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Planning, search and constraint satisfaction · 50% Multi-agent systems · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
dynamic scheduling		 0.011987
Rule-based dispatching govern for flexible manufacturing: Example implementation of a shop-floor part-transportation system · ICRA 1987
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
scheduling		 0.011987
Rule-based dispatching govern for flexible manufacturing: Example implementation of a shop-floor part-transportation system · ICRA 1987
Embedded and real-time systems
cyber-physical system platforms		 0.011987
Rule-based dispatching govern for flexible manufacturing: Example implementation of a shop-floor part-transportation system · ICRA 1987
Embedded and real-time systems › manufacturing systems
flexible manufacturing systems		 0.011987
Rule-based dispatching govern for flexible manufacturing: Example implementation of a shop-floor part-transportation system · ICRA 1987

Methods — techniques the papers use, named apart from their topics

simulation · 0.0rule-based dispatching · 0.0
YearPublicationVenuePosition
1987 Rule-based dispatching govern for flexible manufacturing: Example implementation of a shop-floor part-transportation system
abstract
Special purpose simulators, including the appropriate Artificial Intelligence tools to acquire transparency and flexibility, are needed for the balanced development and the efficient use of the robotized manufacturing plants. The principal characteristics of the XS-SIFIP program are presented, which is specifically established for investigating the governing attributes of the transport systems in the flexible manufacturing shops. Its modular structure is particularly suitable for expanding the dimensionality of the giustification reference knowledge, embedding the critical developments of the robotized factories in the area of the dynamical scheduling.
Gabriella M. Acaccia, M. Bovone, Rinaldo C. Michelini, Rezia Molfino, F. Spinosa
 ICRA5