The Pi-puck extension board: a Raspberry Pi interface for the e-puck robot platform

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ARDebug: An augmented reality tool for analysing and debugging swarm robotic systems
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Article in Frontiers Robotics AI
Autonomous Learning Paradigm for Spiking Neural Networks
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Research output: Contribution to conference › Paper › peer-review
GABA Regulation of Burst Firing in Hippocampal Astrocyte Neural Circuit: A Biophysical Model
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Article in Frontiers in Cellular Neuroscience
Exploring Self Repair in a Coupled Spiking Astrocyte Neural Network
Liu, J., McDaid, L., Harkin, J., Karim, S., Johnson, A. P., Millard, A. G., Hilder, J. A., Halliday, D. M., Tyrrell, A. M. & Timmis, J. I., 3 Jul 2018, (Accepted/In press)
Article in IEEE Transactions on Neural Networks and Learning Systems
The Pi-puck Ecosystem: Hardware and Software Support for the e-puck and e-puck2
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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Research output: Contribution to conference › Paper › peer-review

Full text download(s)

iros_2017_final_submission
2.24 MB, PDF document

Published copy (DOI)

10.1109/IROS.2017.8202233

Author(s)

Department/unit(s)

Conference

Conference	IEEE/RSJ International Conference on Intelligent Robots and Systems
Abbreviated title	IROS
Country	Canada
City	Vancouver
Conference date(s)	24/09/17 → 28/09/17
Internet address	http://www.iros2017.org/

Publication details

Date	Published - Sep 2017
Original language	English

Abstract

This paper presents the Pi-puck extension board - an interface between the e-puck robot platform and a Raspberry Pi single-board computer that enhances the processing power, memory capacity, and networking capabilities of the robot at a low cost. It allows high-level control algorithms, wireless communication, and computationally expensive operations such as real-time image processing to be handled by a Raspberry Pi, while the e-puck's microcontroller deals with low-level motor control and sensor interfacing.

Although two similar extension boards for the e-puck robot platform already exist, they are now out-dated and expensive in comparison. Our open-source hardware design and supporting software infrastructure offer an inexpensive upgrade to the e-puck robot, transforming it into the Pi-puck – a modern and flexible new platform for mobile robotics research.

Bibliographical note

Research areas

Raspberry Pi, e-puck, Pi-puck, Extension board, Interface, Robot platform

Projects

Self-repairing hardware paradigms based on astrocyte-neuron models
Project: Research project (funded) › Research

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By the same authors

ARDebug: An augmented reality tool for analysing and debugging swarm robotic systems

Autonomous Learning Paradigm for Spiking Neural Networks

GABA Regulation of Burst Firing in Hippocampal Astrocyte Neural Circuit: A Biophysical Model

Exploring Self Repair in a Coupled Spiking Astrocyte Neural Network

The Pi-puck Ecosystem: Hardware and Software Support for the e-puck and e-puck2