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University of Ontario Institute of Technology

Design and development of an autonomous scaled electric combat vehicle

Abstract

dc:description.abstract

Current literature pertaining to multi-steerable mobile robots and the progression of military vehicles in the past few decades suggest a lack of effort in pursuing advanced technologies in this joint area. As a result, a novel scaled robotic platform that features independent wheel actuation and autonomous navigation capabilities is developed in this work to represent a potential future design of combat vehicles. The following thesis discusses the details of the mechanical systems in addition to the embedded electronics and software architecture. From there, previously developed mapping and path planning algorithms in addition to a developed localization algorithm are implemented to achieve autonomous navigation. Furthermore, a vision-based close quarter pose correction algorithm is designed and developed to improve upon the limitations imposed by current navigation methodologies. The result of this work is a proposed prototype capable of navigation and precise positioning.

Degree

thesis:*
Name thesis:degree_name
Master of Applied Science (MASc)
Discipline thesis:degree_discipline
Mechanical Engineering
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Tan, Aaron Hao
Advisors dc:contributor.advisor
  • El-Gindy, Moustafa
  • Lang, Haoxiang

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1043
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1043

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Tan, Aaron Hao. Design and development of an autonomous scaled electric combat vehicle. University of Ontario Institute of Technology, 2019. https://hdl.handle.net/10155/1043