Overhead tracking and control of a mobile robot

Bilal Fawaz; Jack Thompson; Rose Awen Brindle; William Robert Evans; Tomos Fearn; Claudio Massimo Coppola; Otar Akanyeti

doi:10.31256/Ee5Um7W

Overhead tracking and control of a mobile robot

Bilal Fawaz, Jack Thompson, Rose Awen Brindle, William Robert Evans, Tomos Fearn, Claudio Massimo Coppola, Otar Akanyeti

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

Abstract

An issue with bio-inspired robotics is knowledge transfer from biology to robots. Our paper provides a tracking and robot controller framework to allow a robot to copy the movement behaviours of a fish. This method receives fish coordinates from an image and translates these as way-points to the robot, by utilising an over-head depth camera. Sensor-motor data and front-facing camera images for the robot will be provided to a Learning by Demonstration (LbD) model to understand the movement and decision making of the fish. As of this paper, initial data collection has been completed and a robot tracking algorithm has been developed.

Original language	English
Title of host publication	UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings
Publisher	UK-RAS Network
Pages	46-47
Number of pages	2
DOIs	https://doi.org/10.31256/Ee5Um7W
Publication status	Published - 26 Aug 2022

Keywords

tracking
bio-inspired robotics
mobile robot
learning by demonstration
ROS

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title = "Overhead tracking and control of a mobile robot",

abstract = "An issue with bio-inspired robotics is knowledge transfer from biology to robots. Our paper provides a tracking and robot controller framework to allow a robot to copy the movement behaviours of a fish. This method receives fish coordinates from an image and translates these as way-points to the robot, by utilising an over-head depth camera. Sensor-motor data and front-facing camera images for the robot will be provided to a Learning by Demonstration (LbD) model to understand the movement and decision making of the fish. As of this paper, initial data collection has been completed and a robot tracking algorithm has been developed.",

keywords = "tracking, bio-inspired robotics, mobile robot, learning by demonstration, ROS",

author = "Bilal Fawaz and Jack Thompson and Brindle, {Rose Awen} and Evans, {William Robert} and Tomos Fearn and Coppola, {Claudio Massimo} and Otar Akanyeti",

year = "2022",

month = aug,

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AU - Thompson, Jack

AU - Brindle, Rose Awen

AU - Evans, William Robert

AU - Fearn, Tomos

AU - Coppola, Claudio Massimo

AU - Akanyeti, Otar

PY - 2022/8/26

Y1 - 2022/8/26

N2 - An issue with bio-inspired robotics is knowledge transfer from biology to robots. Our paper provides a tracking and robot controller framework to allow a robot to copy the movement behaviours of a fish. This method receives fish coordinates from an image and translates these as way-points to the robot, by utilising an over-head depth camera. Sensor-motor data and front-facing camera images for the robot will be provided to a Learning by Demonstration (LbD) model to understand the movement and decision making of the fish. As of this paper, initial data collection has been completed and a robot tracking algorithm has been developed.

AB - An issue with bio-inspired robotics is knowledge transfer from biology to robots. Our paper provides a tracking and robot controller framework to allow a robot to copy the movement behaviours of a fish. This method receives fish coordinates from an image and translates these as way-points to the robot, by utilising an over-head depth camera. Sensor-motor data and front-facing camera images for the robot will be provided to a Learning by Demonstration (LbD) model to understand the movement and decision making of the fish. As of this paper, initial data collection has been completed and a robot tracking algorithm has been developed.

KW - tracking

KW - bio-inspired robotics

KW - mobile robot

KW - learning by demonstration

KW - ROS

U2 - 10.31256/Ee5Um7W

DO - 10.31256/Ee5Um7W

M3 - Conference Proceeding (Non-Journal item)

SP - 46

EP - 47

BT - UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings

PB - UK-RAS Network

ER -

Overhead tracking and control of a mobile robot

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Keywords

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