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Robert S. Alexander

dblp:70/3466 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
motion planning
0.011990
Path planning by optimal-path-map construction for homogeneous-cost two-dimensional regions · ICRA 1990
Robotics › Motion planning and robot control
path planning
0.011990
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
0.011990
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
YearPublicationVenuePosition
1990 Path planning by optimal-path-map construction for homogeneous-cost two-dimensional regions
abstract
Algorithms 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
ICRA1