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César Bustacara

dblp:26/1261 · also César Bustacara-Medina, César Julio Bustacara Medina · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
0000-0002-7478-2901ORCID · verified

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
Motion planning and robot control · 67% Planning, search and constraint satisfaction · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › path planning › coverage path planning
complete coverage
0.112005
BSA: A Complete Coverage Algorithm · ICRA 2005
Robotics › Motion planning and robot control › path planning
coverage path planning
0.112005
BSA: A Complete Coverage Algorithm · ICRA 2005
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › pathfinding
grid-based pathfinding
0.112005
BSA: A Complete Coverage Algorithm · ICRA 2005

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

backtracking spiral algorithm · 0.1
YearPublicationVenuePosition
2005 BSA: A Complete Coverage Algorithm
abstract
The Backtracking Spiral Algorithm (BSA) is a coverage strategy for mobile robots based on the use of spiral filling paths; in order to assure the completeness, unvisited regions are marked and covered by backtracking mechanism. The BSA basic algorithm is designed to work in an environment modeled by a coarse-grain grid. BSA has been extended to cover, not only the free cells, but also the partially occupied ones. In this paper, the concepts and algorithms used to extend BSA are introduced. The ideas used to extend BSA are generic, thus a similar approach can be used to extend most of the grid-based coverage algorithms. Finally, some simulation results that demonstrate that BSA performs a complete coverage are presented.
Enrique González, Oscar Álvarez, Yul Díaz, César Bustacara
ICRA5