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Alexandre R. Fonseca

dblp:24/5922 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · unresolved

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 · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › motion planning › feedback motion planning
navigation functions
0.112005
On Computing Complex Navigation Functions · ICRA 2005
Robotics › Motion planning and robot control › motion planning › reactive motion generation
potential field method
0.012005
On Computing Complex Navigation Functions · ICRA 2005

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

finite element method · 0.1
YearPublicationVenuePosition
2005 On Computing Complex Navigation Functions
abstract
This paper addresses the problem of efficiently computing robot navigation functions. Navigation functions are potential functions free of spurious local minima that present an exact solution to the robot motion planning and control problem. Although some methodologies were found in the literature, none of them are easy to implement and generalize for complex shaped workspaces and robots. We discuss some of the difficulties encountered in the current methodologies and propose a novel approach using a Finite Element method for potential field computation.
Luciano C. A. Pimenta, Alexandre R. Fonseca, Guilherme A. S. Pereira, Renato Cardoso Mesquita, Elson J. Silva, Walmir M. Caminhas, Mario Fernando Montenegro Campos
ICRA2