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Noël Servagent

dblp:06/9665 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
0000-0001-8867-623XORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 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
2 papers
Robot navigation and mapping · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › sensor design
bio-inspired sensing
0.222013
Underwater electro-navigation in the dark · ICRA 2012
Underwater Reflex Navigation in Confined Environment Based on Electric Sense · IEEE Trans. Robotics 2013
Robotics › Robot navigation and mapping › mobile robot navigation
reactive navigation
0.212013
Underwater Reflex Navigation in Confined Environment Based on Electric Sense · IEEE Trans. Robotics 2013
Robotics › Robot navigation and mapping › mobile robot navigation › vehicle navigation
underwater vehicle navigation
0.112012
Underwater electro-navigation in the dark · ICRA 2012

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

reactive control laws · 0.2sensory-motor loop · 0.1bio-inspired sensor design · 0.1
YearPublicationVenuePosition
2013 Underwater Reflex Navigation in Confined Environment Based on Electric Sense
abstract
This paper shows how a sensor inspired by an electric fish could be used to help navigate in confined environments. Exploiting the morphology of the sensor, the physics of electric interactions, as well as taking inspiration from passive electrolocation in real fish, a set of reactive control laws encoding simple behaviors, such as avoiding any electrically contrasted object, or seeking a set of objects while avoiding others according to their electric properties, is proposed. These reflex behaviors are illustrated on simulations and experiments carried out on a setup dedicated to the study of electric sense. The approach does not require a model of the environment and is quite cheap to implement.
Frédéric Boyer, Vincent Lebastard, Christine Chevallereau, Noël Servagent
IEEE Trans. Robotics4
2012 Underwater electro-navigation in the dark
abstract
This article proposes a solution to the problem of the navigation of underwater robots in confined unstructured environments wetted by turbid waters. The solution is based on a new sensor bio-inspired from electric fish. Exploiting the morphology of the sensor as well as taking inspiration from passive electro-location in real fish, the solution turns out to be a sensory-motor loop encoding a simple behavior relevant to exploration missions. This behavior consists in seeking conductive objects while avoiding insulating ones. The solution is illustrated on experiments. It is robust and works even in very unstructured scenes. It does not require any model and is quite cheap to implement.
Vincent Lebastard, Frédéric Boyer, Christine Chevallereau, Noël Servagent
ICRA4