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Adrien Hereau

dblp:280/1887 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

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 · 50% Motion planning and robot control · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware reliability and fault tolerance · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
fault-tolerant control
0.512021
A Fault Tolerant Control Architecture Based on Fault Trees for an Underwater Robot Executing Transect Missions · ICRA 2021
Robotics › Legged, aerial and field robots
underwater robotics
0.512021
A Fault Tolerant Control Architecture Based on Fault Trees for an Underwater Robot Executing Transect Missions · ICRA 2021
Hardware reliability and fault tolerance › reliability modeling
fault tree analysis
0.112021
A Fault Tolerant Control Architecture Based on Fault Trees for an Underwater Robot Executing Transect Missions · ICRA 2021

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

fault-tolerant control · 1.0fault tree analysis · 1.0
YearPublicationVenuePosition
2021 A Fault Tolerant Control Architecture Based on Fault Trees for an Underwater Robot Executing Transect Missions
abstract
Robotic systems evolving in hazardous and harsh environment are prone to mission failure or system loss in presence of faults. This paper presents a fault tolerant methodology, implemented into a control architecture of an underwater robot that executes biological monitoring missions. High level constraint violations (mission, safety, energy, time and localization) and low level faults (software and hardware faults) are considered using a method based on fault trees. These undesirable events are detected and treated by a fault tolerant module that decides to recover at low level or to give a feedback to the mission manager which selects the high level reaction. This fault tolerant architecture has been tested on real field conditions, and we illustrate our methodology on a set of selected events. We conclude about reliability improvement of low cost underwater robots for complex and long missions.
Adrien Hereau, Karen Godary-Dejean, Jérémie Guiochet, Didier Crestani
ICRA1