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Aristide Santos

dblp:11/724 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1995
—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
Legged, aerial and field robots · 46% Motion planning and robot control · 46% Robot navigation and mapping · 7%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control		 0.011995
Dealing in Real Time with a Priori Unknown Environment on Autonomous Underwater Vehicles (AUVs) · ICRA 1995
Robotics › Motion planning and robot control › manipulator control
task function control		 0.011995
Dealing in Real Time with a Priori Unknown Environment on Autonomous Underwater Vehicles (AUVs) · ICRA 1995
Robotics › Legged, aerial and field robots
underwater robotics		 0.011995
Dealing in Real Time with a Priori Unknown Environment on Autonomous Underwater Vehicles (AUVs) · ICRA 1995
Robotics › Legged, aerial and field robots › underwater robotics
underwater vehicle control		 0.011995
Dealing in Real Time with a Priori Unknown Environment on Autonomous Underwater Vehicles (AUVs) · ICRA 1995

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

task switching · 0.0acoustic range sensing · 0.0
YearPublicationVenuePosition
1995 Dealing in Real Time with a Priori Unknown Environment on Autonomous Underwater Vehicles (AUVs)
abstract
For underwater vehicles to be self-sufficient in an a priori unknown environment, feedback from the environment through altitude sensors is essential. This paper presents how this feedback can be efficiently achieved for AUVs in which different simultaneous tasks have to concur to the achievement of a mission. The approach is based on the task-function approach, with a continuous switching between the involved tasks. The presented application concerns the use of acoustic range/altitude sensors in the control of a fully-actuated AUV.
Aristide Santos, Patrick Rives, Bernard Espiau, Daniel Simon
 ICRA1