Open Access Te Herenga Waka-Victoria University of Wellington
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LittleBot

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thesis
posted on 2021-11-14, 08:40 authored by McVay, James

Robots to assist in USAR (urban search and rescue) situations have been employed since 2001. Such robots are designed to provide video and sensor feedback to evaluate hazardous environments before human taskforces are sent in. This minimises the risks human personnel are exposed to, while increasing the effectiveness of USAR operations. However, the typically high cost of such robots and the reliance on trained operators puts them out of reach of most USAR teams. In New Zealand, there are no nationally available robots suitable for USAR purposes. This thesis explores the development of new affordable devices that can be deployed for USAR operations, known as LittleBots. Three LittleBot variants are developed. Differing primarily in their locomotive capability, two mobile variants provide tether-less video reconnaissance and selectable gas level readings. The third, stationary variant, may be reconfigured with up to four selectable sensors, and is targeted at providing ongoing environmental monitoring at a disaster site. With all variants costing less than USD $155 in components, LittleBots are sufficiently low cost to be considered disposable, greatly increasing the likelihood they will be employed en masse. The stationary Sentry variant demonstrates a minimum runtime of over 60 hours, while the mobile variants provision up to 6 hours of mobile video reconnaissance. For independent deployment of LittleBots, a compatible Controller device is developed. Through user testing, the Controller device demonstrates easy and intuitive use, with no training required.

History

Copyright Date

2014-01-01

Date of Award

2014-01-01

Publisher

Te Herenga Waka—Victoria University of Wellington

Rights License

Author Retains Copyright

Degree Discipline

Electronic and Computer System Engineering

Degree Grantor

Te Herenga Waka—Victoria University of Wellington

Degree Level

Masters

Degree Name

Master of Engineering

ANZSRC Type Of Activity code

970109 Expanding Knowledge in Engineering

Victoria University of Wellington Item Type

Awarded Research Masters Thesis

Language

en_NZ

Victoria University of Wellington School

School of Engineering and Computer Science

Advisors

Carnegie, Dale