Design of Virtual Reality for Humanoid Robots with Inspiration from Video Games

Allspaw, Jordan; Heinold, Lilia; Yanco, Holly A.

doi:10.1007/978-3-030-21565-1_1

Cited by 9 publications

(17 citation statements)

References 6 publications

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“…Ref. [49] explores developing a VR interface for humanoids by taking inspiration from VR video games to identify the best control schemes and practices for VR. They summarize a total of 14 VR games, specifically looking at what viewpoint they use, how movement in the game is accomplished, how manipulation is done, and how information is brought up to be displayed.…”

Section: Interactionmentioning

confidence: 99%

A Systematic Review of Virtual Reality Interfaces for Controlling and Interacting with Robots

Wonsick

Padır

2020

Applied Sciences

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There is a significant amount of synergy between virtual reality (VR) and the field of robotics. However, it has only been in approximately the past five years that commercial immersive VR devices have been available to developers. This new availability has led to a rapid increase in research using VR devices in the field of robotics, especially in the development of VR interfaces for operating robots. In this paper, we present a systematic review on VR interfaces for robot operation that utilize commercially available immersive VR devices. A total of 41 papers published between 2016–2020 were collected for review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Papers are discussed and categorized into five categories: (1) Visualization, which focuses on displaying data or information to operators; (2) Robot Control and Planning, which focuses on connecting human input or movement to robot movement; (3) Interaction, which focuses on the development of new interaction techniques and/or identifying best interaction practices; (4) Usability, which focuses on user experiences of VR interfaces; and (5) Infrastructure, which focuses on system architectures or software to support connecting VR and robots for interface development. Additionally, we provide future directions to continue development in VR interfaces for operating robots.

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Section: Interactionmentioning

confidence: 99%

A Systematic Review of Virtual Reality Interfaces for Controlling and Interacting with Robots

Wonsick

Padır

2020

Applied Sciences

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“…Unfortunately, assessing this hypothesis is difficult in a traditional experimental context, for several reasons: (1) no autonomous robotic wheelchairs currently exist on the market, and the construction of an autonomous language-capable autonomous wheelchair is a significant engineering challenge 1 . (2) Autonomous vehicles, including wheelchairs, are incredibly dangerous, being able to move at high speeds and cause significant damage to both walls and people 2 . This is also obviously the case for other types of autonomous vehicles as well, such as autonomous cars, which is why other research groups have sought to investigate trust in autonomous vehicles within very limited carefully controlled contexts such as autonomous parking [51].…”

Section: The Handcartmentioning

confidence: 99%

“…There have also been approaches using VR for other purposes, e.g. providing training environments for robots [23,50,57], visualizing robots in large-scale maritime or aerial environments [20,29,36], and providing immersive teleoperation interfaces [2,3,6,37,41,62].…”

Section: Vr For Human-robot Interactionmentioning

confidence: 99%

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Exploring Interaction Design Considerations for Trustworthy Language-Capable Robotic Wheelchairs in Virtual Reality

Woodward¹,

Nguyen²,

Zhu³

et al. 2020

Preprint

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In previous work, researchers in Human-Robot Interaction (HRI) have demonstrated that user trust in robots depends on effective and transparent communication. This may be particularly true for robots used for transportation, due to user reliance on such robots for physical movement and safety. In this paper, we present the design of an experiment examining the importance of proactive communication by robotic wheelchairs, as compared to non-vehicular mobile robots, within a Virtual Reality (VR) environment. Furthermore, we describe the specific advantages -- and limitations -- of conducting this type of HRI experiment in VR.

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“…VR is widely used in many fields such as education (Lorenzo et al, 2020;McGarr, 2020;Radianti et al, 2020;Theelen et al, 2020), medicine (Bhattacharjee et al, 2020;Felipe et al, 2020;Maier et al, 2020a;Xin et al, 2020), computer games (Bapka et al, 2018;Yang et al, 2018;Allspaw et al, 2019), new motor skills acquisition (Prasertsakul et al, 2018;Ricca et al, 2018;de Moraes et al, 2020), virtual sights (Errichiello et al, 2019;. VR studies in sports focused on three areas: performance analysis (Ouadahi et al, 2016;Neumann et al, 2018), simulation development (Pereira et al, 2018) and virtual training (Adamovich et al, 2009;Calabro et al, 2017;Akbas et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

The Effect of Virtual Reality Technology on the Imagery Skills and Performance of Target-Based Sports Athletes

Bedir

Erhan

2021

Front. Psychol.

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The aim of this study is the examination of the effect of virtual reality based imagery (VRBI) training programs on the shot performance and imagery skills of athletes and, and to conduct a comparison with Visual Motor Behavior Rehearsal and Video Modeling (VMBR + VM). In the research, mixed research method and sequential explanatory design were used. In the quantitative dimension of the study the semi-experimental model was used, and in the qualitative dimension the case study design was adopted. The research participants were selected from athletes who were involved in our target sports: curling (n = 14), bowling (n = 13), and archery (n = 7). All participants were randomly assigned to VMBR + VM (n = 11), VRBI (n = 12), and Control (n = 11) groups through the “Research Randomizer” program. The quantitative data of the study was: the weekly shot performance scores of the athletes and the data obtained from the “Movement Imagery Questionnaire-Revised.” The qualitative data was obtained from the data collected from the semi-structured interview guide, which was developed by researchers and field experts. According to the results obtained from the study, there were statistically significant differences between the groups in terms of shot performance and imagery skills. VRBI training athletes showed more improvement in the 4-week period than the athletes in the VMBR + VM group, in terms of both shot performance and imagery skills. In addition, the VRBI group adapted to the imagery training earlier than the VMBR + VM group. As a result, it was seen that they showed faster development in shot performances. From these findings, it can be said that VRBI program is more efficient in terms of shot performance and imagery skills than VMBR + VM, which is the most used imaging training model.

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Design of Virtual Reality for Humanoid Robots with Inspiration from Video Games

Cited by 9 publications

References 6 publications

A Systematic Review of Virtual Reality Interfaces for Controlling and Interacting with Robots

A Systematic Review of Virtual Reality Interfaces for Controlling and Interacting with Robots

Exploring Interaction Design Considerations for Trustworthy Language-Capable Robotic Wheelchairs in Virtual Reality

The Effect of Virtual Reality Technology on the Imagery Skills and Performance of Target-Based Sports Athletes

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