Towards robot arm training in virtual reality using partial least squares regression

Benjamin Volmer, Adrien Verhulst, Masahiko Inami, Adam Drogemuller, Maki Sugimoto, Bruce H. Thomas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Robot assistance can reduce the user's workload of a task. However, the robot needs to be programmed or trained on how to assist the user. Virtual Reality (VR) can be used to train and validate the actions of the robot in a safer and cheaper environment. In this paper, we examine how a robotic arm can be trained using Coloured Petri Nets (CPN) and Partial Least Squares Regression (PLSR). Based upon these algorithms, we discuss the concept of using the user's acceleration and rotation as a sufficient means to train a robotic arm for a procedural task in VR. We present a work-in-progress system for training robotic limbs using VR as a cost effective and safe medium for experimentation. Additionally, we propose PLSR data that could be considered for training data analysis.

Original languageEnglish
Title of host publication26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1209-1210
Number of pages2
ISBN (Electronic)9781728113777
DOIs
Publication statusPublished - 2019 Mar 1
Event26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Osaka, Japan
Duration: 2019 Mar 232019 Mar 27

Publication series

Name26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings

Conference

Conference26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019
CountryJapan
CityOsaka
Period19/3/2319/3/27

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Keywords

  • Centered computing
  • Human
  • Human computer interaction (HCI)
  • Interaction paradigms
  • Robot arm
  • Virtual reality

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Media Technology

Cite this

Volmer, B., Verhulst, A., Inami, M., Drogemuller, A., Sugimoto, M., & Thomas, B. H. (2019). Towards robot arm training in virtual reality using partial least squares regression. In 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings (pp. 1209-1210). [8797823] (26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VR.2019.8797823