Publication date
July 2018
DOIAbstract
<p>Contained are the data sets generated and analysed for the paper 'Adaptive Online Fault Diagnosis in Robot Swarms' by James O'Keeffe, Danesh Tarapore, Alan G. Millard and Jon Timmis</p
<p>Contained are the data sets generated and analysed for the paper 'Adaptive Online Fault Diagnosis in Robot Swarms' by James O'Keeffe, Danesh Tarapore, Alan G. Millard and Jon Timmis</p
This work presents the preliminary research towards developing an adaptive tool for fault detection ...
A robotic swarm needs to ensure continuous operation even in the event of a failure of one or more i...
<p>Proportion of time the faulty robot is detected across 20 replicates, in each of the 28 distinct ...
Contained are the data sets generated and analysed for the paper 'Adaptive Online Fault Diagnosis in...
Previous work has shown that robot swarms are not always tolerant to the failure of individual robot...
Previous work has shown that robot swarms are not always tolerant to the failure of individual robot...
The need for an active approach to fault tolerance in swarm robotics systems is well established. Th...
Although robustness has been cited as an inherent advantage of swarm robotics systems, it has been s...
This raw data archive includes the data on fault detection in a simulated swarm of 20 e-puck robots....
Although robustness has been cited as an inherent advantage of swarm robotics systems, it has been s...
Although robustness has been cited as an inherent advantage of swarm robotics systems, it has been s...
Supplementary material of paper: Fault detection in a swarm of physical robots based on behavioural ...
Swarm robotics is an example of a complex system with interactions among distributed autonomous robo...
<p>Proportion of time the faulty robot is detected across 20 replicates, in each of the seven distin...
Fault detection and fault tolerance represent two of the most important and largely unsolved issues ...
This work presents the preliminary research towards developing an adaptive tool for fault detection ...
A robotic swarm needs to ensure continuous operation even in the event of a failure of one or more i...
<p>Proportion of time the faulty robot is detected across 20 replicates, in each of the 28 distinct ...
Contained are the data sets generated and analysed for the paper 'Adaptive Online Fault Diagnosis in...
Previous work has shown that robot swarms are not always tolerant to the failure of individual robot...
Previous work has shown that robot swarms are not always tolerant to the failure of individual robot...
The need for an active approach to fault tolerance in swarm robotics systems is well established. Th...
Although robustness has been cited as an inherent advantage of swarm robotics systems, it has been s...
This raw data archive includes the data on fault detection in a simulated swarm of 20 e-puck robots....
Although robustness has been cited as an inherent advantage of swarm robotics systems, it has been s...
Although robustness has been cited as an inherent advantage of swarm robotics systems, it has been s...
Supplementary material of paper: Fault detection in a swarm of physical robots based on behavioural ...
Swarm robotics is an example of a complex system with interactions among distributed autonomous robo...
<p>Proportion of time the faulty robot is detected across 20 replicates, in each of the seven distin...
Fault detection and fault tolerance represent two of the most important and largely unsolved issues ...
This work presents the preliminary research towards developing an adaptive tool for fault detection ...
A robotic swarm needs to ensure continuous operation even in the event of a failure of one or more i...
<p>Proportion of time the faulty robot is detected across 20 replicates, in each of the 28 distinct ...
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