Automatic tracking and analysis of fish trajectories for developing a bio-inspired robot controller

Cloud Coppola; Lissa O'Reilly; Sarah Dalesman; Otar Akanyeti

doi:10.31256/Mb6Zo1T

Automatic tracking and analysis of fish trajectories for developing a bio-inspired robot controller

Cloud Coppola, Lissa O'Reilly, Sarah Dalesman, Otar Akanyeti

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

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Bio-inspired controllers may help robots better adapt to dynamic and unpredictable environments. In this paper, we present work in progress towards developing an automated tool for tracking and analysis of fish trajectories. These trajectories will be used to develop a bio-inspired robot controller through learning by demonstration paradigm.

Iaith wreiddiol	Saesneg
Teitl	UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings
Cyhoeddwr	UK-RAS Network
Tudalennau	88-89
Nifer y tudalennau	2
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.31256/Mb6Zo1T
Statws	Cyhoeddwyd - 26 Awst 2022

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10.31256/Mb6Zo1T

UK-RAS2022_proceedings_Paper-42Fersiwn derfynol wedi’i chyhoeddi, 526 KB

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@inproceedings{931845b16da34daa8277b46523b28fd7,

title = "Automatic tracking and analysis of fish trajectories for developing a bio-inspired robot controller",

abstract = "Bio-inspired controllers may help robots better adapt to dynamic and unpredictable environments. In this paper, we present work in progress towards developing an automated tool for tracking and analysis of fish trajectories. These trajectories will be used to develop a bio-inspired robot controller through learning by demonstration paradigm.",

keywords = "bio-inspired robot controller, deeplabcut, fish tracking, learning by demonstration",

author = "Cloud Coppola and Lissa O'Reilly and Sarah Dalesman and Otar Akanyeti",

year = "2022",

month = aug,

day = "26",

doi = "10.31256/Mb6Zo1T",

language = "English",

pages = "88--89",

booktitle = "UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings",

publisher = "UK-RAS Network",

}

Automatic tracking and analysis of fish trajectories for developing a bio-inspired robot controller. / Coppola, Cloud ; O'Reilly, Lissa ; Dalesman, Sarah et al.
UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings. UK-RAS Network, 2022. t. 88-89.

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

TY - GEN

T1 - Automatic tracking and analysis of fish trajectories for developing a bio-inspired robot controller

AU - Coppola, Cloud

AU - O'Reilly, Lissa

AU - Dalesman, Sarah

AU - Akanyeti, Otar

PY - 2022/8/26

Y1 - 2022/8/26

N2 - Bio-inspired controllers may help robots better adapt to dynamic and unpredictable environments. In this paper, we present work in progress towards developing an automated tool for tracking and analysis of fish trajectories. These trajectories will be used to develop a bio-inspired robot controller through learning by demonstration paradigm.

AB - Bio-inspired controllers may help robots better adapt to dynamic and unpredictable environments. In this paper, we present work in progress towards developing an automated tool for tracking and analysis of fish trajectories. These trajectories will be used to develop a bio-inspired robot controller through learning by demonstration paradigm.

KW - bio-inspired robot controller

KW - deeplabcut

KW - fish tracking

KW - learning by demonstration

U2 - 10.31256/Mb6Zo1T

DO - 10.31256/Mb6Zo1T

M3 - Conference Proceeding (Non-Journal item)

SP - 88

EP - 89

BT - UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings

PB - UK-RAS Network

ER -

Automatic tracking and analysis of fish trajectories for developing a bio-inspired robot controller

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