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Bernard Puel

dblp:75/1653 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2Human-computer interaction and ubiquitous computing · 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.

Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 100%
Artificial intelligence
1 paper
Motion planning and robot control · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › haptic feedback
haptic guidance
0.112009
Haptic Assembly and Disassembly Task Assistance using Interactive Path Planning · VR 2009
Robotics › Motion planning and robot control › motion planning
interactive motion planning
0.012009
Haptic Assembly and Disassembly Task Assistance using Interactive Path Planning · VR 2009

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

workspace discretization · 0.2collision-free path planning · 0.2artificial force guidance · 0.2
YearPublicationVenuePosition
2010 Interactive path planning for haptic assistance in assembly tasks
Nicolas Ladeveze, Jean-Yves Fourquet, Bernard Puel
Comput. Graph.3
2009 Haptic Assembly and Disassembly Task Assistance using Interactive Path Planning
abstract
This paper describes a global interactive scheme including fast motion planning and real time guiding force for 3D CAD part assembly or disassembly tasks. For real time purpose, the motion planner is divided into different steps. First, a preliminary workspace discretization is done without time limitations at the beginning of the simulation. Then, using those computed data, a second part tries to find a collision free path in real time. Once the path is found, an haptic artificial force is applied constraining the user on the path. The user can then influence the planner by not following the path and automatically order a new path research. The performance of this haptic assistance is measured on a test simulation based on an ALSTOM power components assembly simulation.
Nicolas Ladeveze, Jean-Yves Fourquet, Bernard Puel, Michel Taïx
VR3