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Jean-Yves Hascoët

dblp:14/5588 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0002-3103-2588ORCID · corroborated

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

Graphics, computer vision, multimedia, augmented reality and games · 2Systems, 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.

Computer graphics and multimedia
2 papers
Computer animation and physical simulation · 60% Computational fabrication · 40%
Theoretical computer science
1 paper
Mathematical optimization · 100%

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

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation › motion planning
trajectory planning
0.112012
New computer vision based Snakes and Ladders algorithm for the safe trajectory of two axis CNC machines · Comput. Aided Des. 2012
Computational fabrication › machining
tool path optimization
0.112009
Tool path programming optimization for incremental sheet forming applications · Comput. Aided Des. 2009
Mathematical optimization
continuous optimization
0.012009
Tool path programming optimization for incremental sheet forming applications · Comput. Aided Des. 2009

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

snakes algorithm · 0.1computer vision · 0.1
YearPublicationVenuePosition
2012 New computer vision based Snakes and Ladders algorithm for the safe trajectory of two axis CNC machines
Rafiq Ahmad 0004, Stéphane Tichadou, Jean-Yves Hascoët
Comput. Aided Des.3
2009 Tool path programming optimization for incremental sheet forming applications
Matthieu Rauch, Jean-Yves Hascoët, Jean-Christophe Hamann, Yannick Plenel
Comput. Aided Des.2
2001 Multi-agent environment for process planning elaboration
abstract
Presents the development of a CAPP framework based on a multi-agent architecture. It generates nonlinear process plans (NLPP) and will allow interactivity with the process planners. The multi-agent architecture is discussed and detailed.
Philippe Dépincé, Hocine Amara, Jean-Yves Hascoët
ETFA (2)3