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Daniel J. Challou

dblp:71/2826 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1995
—ORCID · none

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
Motion planning and robot control · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
motion planning
0.011995
A parallel Formulation of Informed Randomized Search for Robot Motion Planning Problems · ICRA 1995
Robotics › Motion planning and robot control › motion planning
parallel motion planning
0.011995
A parallel Formulation of Informed Randomized Search for Robot Motion Planning Problems · ICRA 1995
Robotics › Motion planning and robot control › path planning
path smoothing
0.011995
A parallel Formulation of Informed Randomized Search for Robot Motion Planning Problems · ICRA 1995
Robotics › Motion planning and robot control › motion planning
sampling-based motion planning
0.011995
A parallel Formulation of Informed Randomized Search for Robot Motion Planning Problems · ICRA 1995
Parallel and multicore computing › parallel algorithms
parallel search
0.011995
A parallel Formulation of Informed Randomized Search for Robot Motion Planning Problems · ICRA 1995

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

randomized search · 0.0parallel search · 0.0
YearPublicationVenuePosition
1995 A parallel Formulation of Informed Randomized Search for Robot Motion Planning Problems
abstract
We show how paths for articulated robots with many degrees of freedom can be generated in a few seconds or less using nonsystematic parallel search. We present experimental results obtained on a multicomputer for an accurate model of a 7-jointed manipulator arm operating in realistic 3D workspaces. We then present and discuss a fast method for smoothing the paths delivered by the parallel algorithm.
Daniel J. Challou, Daniel Boley, Maria L. Gini, Vipin Kumar 0001
ICRA1