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U. of Salford

Reducing jerk for bimanual control with virtual reality

Abstract

dc:description.abstract

This work explores interaction in virtual environments where bimanual operations lacking kinematic constraints, such as a pair of tracked controllers held in free space, are mapped to a target object that obeys a constraint, such as a pair of grippers grasping a single object. Visual and haptic feedback systems are developed and compared as solutions for minimising Jerk during motion. The outcome of the study is that visual feedback is shown to be superior to haptic feedback for use in free-air bimanual systems where maximising smoothness of motion is the objective. The primary application is for improved teleoperation of a new generation of ordnance disposal robots which utilise dual grippers intended for bimanual operation. The work is undertaken in a generalised manner however so that it may be applicable for other uses such as medical systems or nuclear disassembly. The systems developed herein initially utilise a custom framework designed for a fourteen screen, fully tracked immersive environment comparable to an enhanced CAVE, known locally as Octave. The final study subsequently utilises the Unreal Engine 4 framework for the HTC Vive HMD system. All software developed is provided as a core part of this work.

Degree

thesis:*
Level dc:type.qualificationlevel
Doctoral (Level 8)
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hill, SCM

Rights

Language dc:language
en

Identifiers

dc:identifier.*
Identifier
oai:salford-repository.worktribe.com:1371563
OAI identifier oai:identifier
oai:salford-repository.worktribe.com:1371563

Chain of custody

source
Harvested from
U. of Salford
Base URL
salford-repository.worktribe.com/oaiprovider
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Hill, SCM. Reducing jerk for bimanual control with virtual reality. Doctoral (Level 8) thesis, 2019.