Demo Data from VLDB 2026 / reviewers in the wild / expert
Robert S. Alexander
dblp:70/3466
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1990
—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% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
motion planning |
0.0 | 1 | 1990 | Path planning by optimal-path-map construction for homogeneous-cost two-dimensional regions · ICRA 1990 |
Robotics › Motion planning and robot control
path planning |
0.0 | 1 | 1990 | Path planning by optimal-path-map construction for homogeneous-cost two-dimensional regions · ICRA 1990 |
Robotics › Motion planning and robot control › path planning › mobile robot path planning
terrain-aware path planning |
0.0 | 1 | 1990 | Path planning by optimal-path-map construction for homogeneous-cost two-dimensional regions · ICRA 1990 |
Methods — techniques the papers use, named apart from their topics
optimal-path-map construction · 0.0computational geometry · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Path planning by optimal-path-map construction for homogeneous-cost two-dimensional regionsabstractAlgorithms to construct optimal-path maps for single isolated homogeneous-cost convex-polygonal regions are discussed. Assuming the ability to construct optimal paths for a certain set of key points, a complete analysis is given of one of the four possible single-region situations, showing how to partition the map into regions of similar path behavior. An algorithm is then proposed for constructing optimal-path maps for multiple such regions, in the case that they meet certain decomposability constraints. This algorithm is of O(n/sup 4/) time complexity and O(n) space complexity, where n is the number of vertices in a polygonal model of the terrain as homogeneous-cost regions. The algorithm greatly simplifies planning of paths through areas of terrain with near-uniform characteristics, allowing a robot to exploit optimal paths but still have significant time for other matters.> Robert S. Alexander, Neil C. Rowe |
ICRA | 1 |