Integration and Robustness Analysis of the Buzz Swarm Programming Language with the Pi-puck Robot Platform

Aiden Neale; Alan Gregory Millard

doi:10.1007/978-3-031-15908-4

Integration and Robustness Analysis of the Buzz Swarm Programming Language with the Pi-puck Robot Platform

Aiden Neale^*, Alan Gregory Millard

^*Corresponding author for this work

Computer Science

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

Abstract

In this paper, we present an open-source integration of the Buzz swarm programming language with the Pi-puck robot platform. We then analyse the effect of packet loss and sensor noise on neighbour sensing in Buzz using a simple aggregation algorithm as a case study. Through infrastructural testing on this physical robot platform, we evaluate how well swarm algorithms developed in Buzz can cope with perturbations. We find that aggregation is reasonably tolerant to packet loss, however struggles to tolerate inaccurate neighbour sensing. Finally, we suggest future work that could mitigate the effect of embedded platform imperfections when developing swarm algorithms in Buzz.

Original language	English
Title of host publication	Towards Autonomous Robotic Systems
Subtitle of host publication	23rd Annual Conference, TAROS 2022, Culham, UK, September 7–9, 2022, Proceedings
Publisher	Springer
Pages	223-237
Number of pages	15
ISBN (Electronic)	9783031159084
ISBN (Print)	9783031159077
DOIs	https://doi.org/10.1007/978-3-031-15908-4
Publication status	Published - 1 Sept 2022
Event	23rd Annual Conference Towards Autonomous Robotic Systems, TAROS 2022 - Culham, United Kingdom Duration: 7 Sept 2022 → 9 Sept 2022

Publication series

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

Conference

Conference	23rd Annual Conference Towards Autonomous Robotic Systems, TAROS 2022
Country/Territory	United Kingdom
City	Culham
Period	7/09/22 → 9/09/22

Access to Document

10.1007/978-3-031-15908-4

Cite this

Neale, A., & Millard, A. G. (2022). Integration and Robustness Analysis of the Buzz Swarm Programming Language with the Pi-puck Robot Platform. In Towards Autonomous Robotic Systems: 23rd Annual Conference, TAROS 2022, Culham, UK, September 7–9, 2022, Proceedings (pp. 223-237). (Lecture Notes in Computer Science (LNCS)). Springer. https://doi.org/10.1007/978-3-031-15908-4

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title = "Integration and Robustness Analysis of the Buzz Swarm Programming Language with the Pi-puck Robot Platform",

abstract = "In this paper, we present an open-source integration of the Buzz swarm programming language with the Pi-puck robot platform. We then analyse the effect of packet loss and sensor noise on neighbour sensing in Buzz using a simple aggregation algorithm as a case study. Through infrastructural testing on this physical robot platform, we evaluate how well swarm algorithms developed in Buzz can cope with perturbations. We find that aggregation is reasonably tolerant to packet loss, however struggles to tolerate inaccurate neighbour sensing. Finally, we suggest future work that could mitigate the effect of embedded platform imperfections when developing swarm algorithms in Buzz.",

author = "Aiden Neale and Millard, {Alan Gregory}",

year = "2022",

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doi = "10.1007/978-3-031-15908-4",

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Neale, A & Millard, AG 2022, Integration and Robustness Analysis of the Buzz Swarm Programming Language with the Pi-puck Robot Platform. in Towards Autonomous Robotic Systems: 23rd Annual Conference, TAROS 2022, Culham, UK, September 7–9, 2022, Proceedings. Lecture Notes in Computer Science (LNCS), Springer, pp. 223-237, 23rd Annual Conference Towards Autonomous Robotic Systems, TAROS 2022, Culham, United Kingdom, 7/09/22. https://doi.org/10.1007/978-3-031-15908-4

Integration and Robustness Analysis of the Buzz Swarm Programming Language with the Pi-puck Robot Platform. / Neale, Aiden; Millard, Alan Gregory.
Towards Autonomous Robotic Systems: 23rd Annual Conference, TAROS 2022, Culham, UK, September 7–9, 2022, Proceedings. Springer, 2022. p. 223-237 (Lecture Notes in Computer Science (LNCS)).

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

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AB - In this paper, we present an open-source integration of the Buzz swarm programming language with the Pi-puck robot platform. We then analyse the effect of packet loss and sensor noise on neighbour sensing in Buzz using a simple aggregation algorithm as a case study. Through infrastructural testing on this physical robot platform, we evaluate how well swarm algorithms developed in Buzz can cope with perturbations. We find that aggregation is reasonably tolerant to packet loss, however struggles to tolerate inaccurate neighbour sensing. Finally, we suggest future work that could mitigate the effect of embedded platform imperfections when developing swarm algorithms in Buzz.

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