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Laurent Dubois

dblp:23/2273 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1997
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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
Knowledge representation and reasoning · 67% Motion planning and robot control · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › uncertainty reasoning
approximate reasoning		 0.011997
Approximate reasoning for the control of a robot in an uncertain environment: a multi-model approach · ICRA 1997
Knowledge, reasoning and agents › Knowledge representation and reasoning › uncertainty reasoning
possibility theory		 0.011997
Approximate reasoning for the control of a robot in an uncertain environment: a multi-model approach · ICRA 1997
Robotics › Motion planning and robot control
robot control		 0.011997
Approximate reasoning for the control of a robot in an uncertain environment: a multi-model approach · ICRA 1997

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

sensor fusion · 0.0possibility theory · 0.0context-dependent operator · 0.0
YearPublicationVenuePosition
1997 Approximate reasoning for the control of a robot in an uncertain environment: a multi-model approach
abstract
The use of a nonlinear context dependent operator based on possibility theory is studied in order to provide a generic fusion mechanism in different parts of the control of a robot in an uncertain, ill-defined environment. Its main interest consists in the definition of a reliability degree for each partial result which may allow a more pertinent adaptive mechanism.
Laurent Dubois, Toshio Fukuda, François Delmotte, Pierre Borne
 ICRA1