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Yueshi Shen

dblp:85/5768 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2006
—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.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 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
Geometric modeling and processing
orientation interpolation		 0.112006
Smooth Interpolation of Orientation by Rolling and Wrapping for Robot Motion Planning · ICRA 2006
Robotics › Motion planning and robot control
motion planning		 0.012006
Smooth Interpolation of Orientation by Rolling and Wrapping for Robot Motion Planning · ICRA 2006

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

rolling and wrapping · 0.1pull back/push forward · 0.1
YearPublicationVenuePosition
2006 Smooth Interpolation of Orientation by Rolling and Wrapping for Robot Motion Planning
abstract
This paper investigates a novel procedure to calculate smooth interpolation curves of the rotation group SO3, which is commonly considered as the standard representation of rigid-body's orientations. The algorithm is a combination of rolling and wrapping with the pull back/push forward technique. One remarkable advantage of this approach is that interpolation curves are given in closed form, which brings convenience for implementations on real-time control systems. A numerical example along with some visualization results is presented as well
Yueshi Shen, Knut Hüper, Fatima Silva Leite
 ICRA1