Demo Data from SIGIR 2026 / reviewers in the wild / expert
John Ketchell
dblp:49/2303
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
collision detection |
0.1 | 1 | 2006 | Collision Detection of Cylindrical Rigid Bodies for Motion Planning · ICRA 2006 |
Robotics › Motion planning and robot control
motion planning |
0.1 | 1 | 2006 | Collision Detection of Cylindrical Rigid Bodies for Motion Planning · ICRA 2006 |
Computational geometry
geometric modeling and processing |
0.0 | 1 | 2006 | Collision Detection of Cylindrical Rigid Bodies for Motion Planning · ICRA 2006 |
Computational geometry › projective geometry
line geometry |
0.0 | 1 | 2006 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Collision Detection of Cylindrical Rigid Bodies for Motion PlanningabstractThis 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 |
ICRA | 1 |