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3D Printer Based Open Source Calibration Platform for Whisker Sensors

conference contribution
posted on 2024-08-29, 13:05 authored by Liyou Zhou, Omar Ali, Soumo Emmanuel Arnaud, Eden Attenborough, Jacob Swindell, George Davies, Charles FoxCharles Fox

Whisker sensors have been an area of active research in recent years for their interesting use cases in tactile robotics and mammal physiology research. Several attempts have been made to develop open-source versions of the sensor to promote wider adoption. However, the existing calibration solutions for these sensors are highly proprietary, cost-prohibitive and error-prone. In this paper, we present a low-cost open-source calibration and testing platform for whisker sensors based on an off-the-shelf 3D printer. We demonstrate its effectiveness by calibrating a whisker sensor for radial contact distance inference. All artefacts of the design are open-sourced and are fully reproducible.

History

School affiliated with

  • School of Computer Science (Research Outputs)

Publication Title

Towards Autonomous Robotic Systems 25th Annual Conference, TAROS 2024, London, UK, August 21–23, 2024, Proceedings

Publisher

Springer Cham

ISSN

0302-9743

eISSN

1611-3349

ISBN

978-3-031-72058-1

eISBN

978-3-031-72059-8

Date Submitted

2024-05-01

Date Accepted

2024-06-01

Date of Final Publication

2024-11-03

Event Name

25th Annual Conference, TAROS 2024

Event Dates

August 21–23, 2024

Date Document First Uploaded

2024-07-24

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