Prototyping Sensors and Actuators for Robot Swarms in Mixed Reality

Alex Murphy; Alan Gregory Millard

doi:10.1007/978-3-030-63486-5_39

Prototyping Sensors and Actuators for Robot Swarms in Mixed Reality

Alex Murphy, Alan Gregory Millard^*

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Swarm robotics is an approach to the coordination of large numbers of relatively simple robots with limited physical capabilities. Extending the capabilities of these robots usually requires either purchasing or prototyping new sensors or actuators (a costly and time-consuming process), often before even knowing whether these new sensors or actuators will be able to perform the necessary task effectively. This paper presents a software platform that enables researchers to prototype new sensors and actuators in the virtual world, eliminating the time and resources necessary to prototype physical hardware, and allows for experiments to be run in as many configurations as required in order to determine the efficacy of the proposed sensor/actuator.

Original language	English
Title of host publication	Towards Autonomous Robotic Systems
Subtitle of host publication	21st Annual Conference, TAROS 2020, Nottingham, UK, September 16, 2020, Proceedings
Publisher	Springer
Pages	377-386
Number of pages	12
ISBN (Electronic)	9783030634865
ISBN (Print)	9783030634858
DOIs	https://doi.org/10.1007/978-3-030-63486-5_39
Publication status	Published - 3 Dec 2020
Event	21st Towards Autonomous Robotic Systems Conference - Nottingham Duration: 16 Sept 2020 → 16 Sept 2020

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	12228
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st Towards Autonomous Robotic Systems Conference
Abbreviated title	TAROS
City	Nottingham
Period	16/09/20 → 16/09/20

Access to Document

10.1007/978-3-030-63486-5_39

Cite this

@inproceedings{9bdc0a0206814d30b1d013b88409c2ec,

title = "Prototyping Sensors and Actuators for Robot Swarms in Mixed Reality",

abstract = "Swarm robotics is an approach to the coordination of large numbers of relatively simple robots with limited physical capabilities. Extending the capabilities of these robots usually requires either purchasing or prototyping new sensors or actuators (a costly and time-consuming process), often before even knowing whether these new sensors or actuators will be able to perform the necessary task effectively. This paper presents a software platform that enables researchers to prototype new sensors and actuators in the virtual world, eliminating the time and resources necessary to prototype physical hardware, and allows for experiments to be run in as many configurations as required in order to determine the efficacy of the proposed sensor/actuator.",

author = "Alex Murphy and Millard, {Alan Gregory}",

year = "2020",

month = dec,

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doi = "10.1007/978-3-030-63486-5_39",

language = "English",

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series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "377--386",

booktitle = "Towards Autonomous Robotic Systems",

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note = "21st Towards Autonomous Robotic Systems Conference, TAROS ; Conference date: 16-09-2020 Through 16-09-2020",

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Murphy, A & Millard, AG 2020, Prototyping Sensors and Actuators for Robot Swarms in Mixed Reality. in Towards Autonomous Robotic Systems: 21st Annual Conference, TAROS 2020, Nottingham, UK, September 16, 2020, Proceedings. Lecture Notes in Computer Science, vol. 12228, Springer, pp. 377-386, 21st Towards Autonomous Robotic Systems Conference, Nottingham, 16/09/20. https://doi.org/10.1007/978-3-030-63486-5_39

Prototyping Sensors and Actuators for Robot Swarms in Mixed Reality. / Murphy, Alex; Millard, Alan Gregory.
Towards Autonomous Robotic Systems: 21st Annual Conference, TAROS 2020, Nottingham, UK, September 16, 2020, Proceedings. Springer, 2020. p. 377-386 (Lecture Notes in Computer Science; Vol. 12228).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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