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Jeffrey S. Wright

dblp:172/7948 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, 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.

Artificial intelligence
1 paper
Robot manipulation · 100%
Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping		 0.011986
Spherical dual images: A 3D representation method for solid objects that combines dual space and Gaussian spheres · ICRA 1986
Robotics › Robot manipulation › grasping › grasp planning
grasp point selection		 0.011986
Spherical dual images: A 3D representation method for solid objects that combines dual space and Gaussian spheres · ICRA 1986
Geometric modeling and processing › shape representation
3d object representation		 0.011986
Spherical dual images: A 3D representation method for solid objects that combines dual space and Gaussian spheres · ICRA 1986
Geometric modeling and processing › computational geometry
gaussian sphere		 0.011986
Spherical dual images: A 3D representation method for solid objects that combines dual space and Gaussian spheres · ICRA 1986

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

dual space representation · 0.0
YearPublicationVenuePosition
1986 Spherical dual images: A 3D representation method for solid objects that combines dual space and Gaussian spheres
abstract
Three-dimensional object representation significantly impacts computations for manipulation, spatial reasoning and vision. This paper introduces a technique called the spherical dual image, derived from Gaussian sphere and dual space concepts. This representation technique will be defined and a number of its properties will be proven, leading to a reconstruction algorithm for convex and concave polyhedra. Finally, the application of this representation for selecting grasping points to manipulate a polyhedron is discussed.
John W. Roach, Jeffrey S. Wright
 ICRA2