Nov 30, 2018 · This paper presents a novel method for fault diagnosis that attempts to imitate some of the observed functions of natural immune system. The ...
The swarm is able to detect faults when an individual robot fails to flash its LED at suitable intervals, and this is recognized by a neighbor in the swarm.
We propose that swarm robotic systems that are able to diagnose partially failed individuals and launch recovery actions (e.g., the replacement or repair of ...
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This paper proposes an extreme learning machine with a level-based learning swarm optimizer (LLSO-ELM) for fault diagnosis of industrial robot RV reducer. The ...
Adaptive Online Fault Diagnosis in Autonomous Robot Swarms ; Journal: Frontiers in Robotics and AI, 2018 ; Publisher: Frontiers Media SA ; Authors: James O'Keeffe, ...
Contained are the data sets generated and analysed for the paper 'Adaptive Online Fault Diagnosis in Robot Swarms' by James O'Keeffe, Danesh Tarapore, ...
Adaptive Online Fault Diagnosis in Autonomous Robot Swarms. James O'Keefe, Danesh Sarosh Tarapore, Alan Gregory Millard, Jonathan Ian Timmis · Electronic ...
Dive into the research topics of 'Adaptive online fault diagnosis in autonomous robot swarms'. Together they form a unique fingerprint. Sort by; Weight ...
Adaptive Online Fault Diagnosis in Autonomous Robot Swarms. (2018). First Author: O'Keeffe J. Attributed to: Rapid fault-recovery strategies for resilient ...
Sep 13, 2023 · The experiments detailed in this paper show that our system correctly diagnoses faults in the majority of cases when deployed in hardware, and ...