ARDebug: an augmented reality tool for analysing and debugging swarm robotic systems
dc.contributor.author | Millard, AG | |
dc.contributor.author | Redpath, R | |
dc.contributor.author | Jewers, A | |
dc.contributor.author | Arndt, C | |
dc.contributor.author | Joyce, R | |
dc.contributor.author | Hilder, JA | |
dc.contributor.author | McDaid, LJ | |
dc.contributor.author | Halliday, DM | |
dc.date.accessioned | 2024-04-24T10:14:43Z | |
dc.date.available | 2024-04-24T10:14:43Z | |
dc.date.issued | 2018-07-24 | |
dc.identifier.issn | 2296-9144 | |
dc.identifier.issn | 2296-9144 | |
dc.identifier.uri | https://pearl.plymouth.ac.uk/handle/10026.1/22302 | |
dc.description.abstract |
Despite growing interest in collective robotics over the past few years, analysing and debugging the behaviour of swarm robotic systems remains a challenge due to the lack of appropriate tools. We present a solution to this problem-ARDebug: an open-source, cross-platform, and modular tool that allows the user to visualise the internal state of a robot swarm using graphical augmented reality techniques. In this paper we describe the key features of the software, the hardware required to support it, its implementation, and usage examples. ARDebug is specifically designed with adoption by other institutions in mind, and aims to provide an extensible tool that other researchers can easily integrate with their own experimental infrastructure. | |
dc.format.extent | 87- | |
dc.format.medium | Electronic-eCollection | |
dc.language | eng | |
dc.publisher | York | |
dc.subject | augmented reality | |
dc.subject | code:c++ | |
dc.subject | cross-platform | |
dc.subject | debugging | |
dc.subject | open-source | |
dc.subject | swarm robotics | |
dc.title | ARDebug: an augmented reality tool for analysing and debugging swarm robotic systems | |
dc.type | Journal Article | |
plymouth.author-url | https://www.ncbi.nlm.nih.gov/pubmed/33500966 | |
plymouth.issue | JUN | |
plymouth.volume | 5 | |
plymouth.publication-status | Published online | |
plymouth.journal | Frontiers Robotics AI | |
dc.identifier.doi | 10.3389/frobt.2018.00087 | |
plymouth.organisational-group | |Plymouth | |
plymouth.organisational-group | |Plymouth|Faculty of Science and Engineering | |
plymouth.organisational-group | |Plymouth|REF 2021 Researchers by UoA | |
plymouth.organisational-group | |Plymouth|Users by role | |
plymouth.organisational-group | |Plymouth|REF 2021 Researchers by UoA|UoA11 Computer Science and Informatics | |
plymouth.organisational-group | |Plymouth|Users by role|Former Academic staff | |
dc.publisher.place | Switzerland | |
dcterms.dateAccepted | 2018-06-29 | |
dc.date.updated | 2024-04-24T10:14:41Z | |
dc.rights.embargodate | 2024-04-26 | |
dc.identifier.eissn | 2296-9144 | |
rioxxterms.versionofrecord | 10.3389/frobt.2018.00087 |