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John Ketchell

dblp:49/2303 · 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.

Artificial intelligence
1 paper
Motion planning and robot control · 100%
Theoretical computer science
1 paper
Computational geometry · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
collision detection
0.112006
Collision Detection of Cylindrical Rigid Bodies for Motion Planning · ICRA 2006
Robotics › Motion planning and robot control
motion planning
0.112006
Collision Detection of Cylindrical Rigid Bodies for Motion Planning · ICRA 2006
Computational geometry
geometric modeling and processing
0.012006
Collision Detection of Cylindrical Rigid Bodies for Motion Planning · ICRA 2006
Computational geometry › projective geometry
line geometry
0.012006
Collision Detection of Cylindrical Rigid Bodies for Motion Planning · ICRA 2006

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

necessary and sufficient conditions · 0.1dual number algebra · 0.1
YearPublicationVenuePosition
2006 Collision Detection of Cylindrical Rigid Bodies for Motion Planning
abstract
This paper presents a novel methodology for detecting collisions of cylindrically shaped rigid bodies moving in three dimensions. This algorithm uses line geometry and dual number algebra to exploit the geometry of right circular cylindrical objects to facilitate the detection of collisions. First, the rigid bodies are modelled with infinite cylinders and an efficient necessary condition for collision is evaluated. If the necessary condition is not satisfied then the two bodies do not collide. If the necessary condition is satisfied then a collision between the bodies may occur and we proceed to the next stage of the algorithm. In the second stage the bodies are modelled with finite cylinders and a definitive necessary and sufficient collision detection algorithm is employed. The result is a straight-forward and efficient means of detecting collisions of cylindrically shaped bodies moving in three dimensions. This methodology has applications in robot motion planning, spatial mechanism design, and workspace analysis of parallel kinematic machines such as Stewart-Gough platforms. A case study of motion planning for an industrial robot is included
John Ketchell, Pierre M. Larochelle
ICRA1