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Hélène Chochon

dblp:10/5378 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1986
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 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
2 papers
Robot manipulation · 60% Multi-agent systems · 20% Motion planning and robot control · 20%
Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 100%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
execution monitoring
0.011986
NNS, a knowledge-based on-line system for an assembly workcell · ICRA 1986
Robotics › Robot manipulation › manipulation control › safe manipulation
failure diagnosis and recovery
0.011986
NNS, a knowledge-based on-line system for an assembly workcell · ICRA 1986
Knowledge, reasoning and agents › Multi-agent systems
multi-robot coordination
0.011986
NNS, a knowledge-based on-line system for an assembly workcell · ICRA 1986
Robotics › Robot manipulation › assembly › automated assembly
flexible assembly cell
0.011985
Programming of flexible assembly cell: Task modelling and system integration · ICRA 1985
Robotics › Robot manipulation › robot programming
task specification
0.011985
Programming of flexible assembly cell: Task modelling and system integration · ICRA 1985

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

decisional environment · 0.0knowledge-based reasoning · 0.0
YearPublicationVenuePosition
1986 NNS, a knowledge-based on-line system for an assembly workcell
abstract
Performing complex assembly tasks requires decisional capabilities available on-line, in order to handle various events (sensor conditions, part arrivals, failure detection...), that occur during execution. In this paper, we describe NNS, a complete on-line system for multi-robot assembly workcells, that deals with problems of execution monitoring, action scheduling, and failure diagnosis and recovery. NNS is distributed in different decisional layers with their own reasoning methods and state representation; it uses an "execution model" that embeds various knowledge bases built off-line. This approach fits well with requirements of flexibility and efficiency.
Hélène Chochon, Rachid Alami 0001
ICRA1
1985 Programming of flexible assembly cell: Task modelling and system integration
abstract
This paper is divided into four sections. The first section discusses Flexible Assembly Cell (FAC) programming requirements. Sections 2 and 3 present an approach to FAC modelling and programming. The intended objective is to build a programming and decisional environment which allows construction of assembly applications, and to endow the on-line system with decision-making capabilities. The last section describes the current state of an actual system which is a first approach to meeting the discussed requirements.
Rachid Alami 0001, Hélène Chochon
ICRA2