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Alain Tremblay

dblp:65/3281 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1999
—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
Robot manipulation · 50% Motion planning and robot control · 50%
Theoretical computer science
1 paper
Mathematical optimization · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › parallel mechanism design
parallel manipulator synthesis		 0.011999
Geometrical Synthesis of Star-Like Parallel Manipulators Topology with a Genetic Algorithm · ICRA 1999
Robotics › Robot manipulation
robot design		 0.011999
Geometrical Synthesis of Star-Like Parallel Manipulators Topology with a Genetic Algorithm · ICRA 1999
Mathematical optimization › evolutionary computation
genetic algorithm		 0.011999
Geometrical Synthesis of Star-Like Parallel Manipulators Topology with a Genetic Algorithm · ICRA 1999
Mathematical optimization
metaheuristic optimization		 0.011999
Geometrical Synthesis of Star-Like Parallel Manipulators Topology with a Genetic Algorithm · ICRA 1999

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

workspace and dexterity criteria · 0.0genetic algorithm · 0.0
YearPublicationVenuePosition
1999 Geometrical Synthesis of Star-Like Parallel Manipulators Topology with a Genetic Algorithm
abstract
This paper presents the results of the implementation of a genetic algorithm for the geometrical synthesis of star-like topology parallel manipulators. The algorithm allows one to use several design criteria while considering a population of potential designs. The algorithm has proven to be simple and effective. Although the Y-star parallel manipulator is the design that possesses the greatest percentage of its workspace having a good dexterity, it is not the one that produce the largest workspace volume or the largest cubic volume inscribed within its workspace.
Alain Tremblay, Luc Baron
 ICRA1