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University of Nevada - Reno

DESIGN AND MANUFACTURING OF A VIRTUAL REALITY-ASSISTED TELEOPERATED EXCAVATOR PLATFORM

Abstract

dc:description.abstract

This research work studies the development of a teleoperation system for excavator robot using virtual reality (VR) technologies. The purpose of this study is to implement VR for a teleoperated excavator that the operator uses a VR headset instead of conventional video stream displays. This system provides a better perspective to give the impressions in a lifelike virtual environment for operators who can observe and inspect the real working environment. In order to develop a simulation environment for testing and adjusting the parameters, a small robot with electric actuators and gear motors was built and will be equipped with positioning sensors and cameras. This work proposes a design and manufacturing of mobile excavator robot as well as an architecture of hardware and software for remote control systems. Also, the designed apparatus can be utilized as an equipment training simulator to help new users learn to safely function and control real-life machines. Finally, future research opportunities related to VR assisted teleoperation of excavators are highlighted.

Degree

thesis:*
Level thesis:degree_level
Master's Degree
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Salimov, Meirzhan
Advisor dc:contributor.advisor
  • Sattarvand, Javad
Committee members dc:contributor.committeemember
  • Tavakkoli, Alireza
  • Abbasi, Behrooz
  • Fajri, Poria

Subjects

dc:subject × 3

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11714/7612
OAI identifier oai:identifier
oai:scholarwolf.unr.edu:11714/7612

Chain of custody

source
Harvested from
University of Nevada - Reno
Base URL
scholarwolf.unr.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Salimov, Meirzhan. DESIGN AND MANUFACTURING OF A VIRTUAL REALITY-ASSISTED TELEOPERATED EXCAVATOR PLATFORM. Master's Degree thesis, 2020. http://hdl.handle.net/11714/7612