Beyond Visuals: Investigating Force Feedback in Extended Reality for Robot Data Collection

Fuente: arXiv
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Autores principales: Li, Xueyin, Jiang, Xinkai, Dahlinger, Philipp, Neumann, Gerhard, Lioutikov, Rudolf
Formato: Preprint
Publicado: 2025
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author Li, Xueyin
Jiang, Xinkai
Dahlinger, Philipp
Neumann, Gerhard
Lioutikov, Rudolf
author_facet Li, Xueyin
Jiang, Xinkai
Dahlinger, Philipp
Neumann, Gerhard
Lioutikov, Rudolf
contents This work explores how force feedback affects various aspects of robot data collection within the Extended Reality (XR) setting. Force feedback has been proved to enhance the user experience in Extended Reality (XR) by providing contact-rich information. However, its impact on robot data collection has not received much attention in the robotics community. This paper addresses this shortcoming by conducting an extensive user study on the effects of force feedback during data collection in XR. We extended two XR-based robot control interfaces, Kinesthetic Teaching and Motion Controllers, with haptic feedback features. The user study is conducted using manipulation tasks ranging from simple pick-place to complex peg assemble, requiring precise operations. The evaluations show that force feedback enhances task performance and user experience, particularly in tasks requiring high-precision manipulation. These improvements vary depending on the robot control interface and task complexity. This paper provides new insights into how different factors influence the impact of force feedback.
format Preprint
id arxiv_https___arxiv_org_abs_2503_20714
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Beyond Visuals: Investigating Force Feedback in Extended Reality for Robot Data Collection
Li, Xueyin
Jiang, Xinkai
Dahlinger, Philipp
Neumann, Gerhard
Lioutikov, Rudolf
Robotics
Human-Computer Interaction
This work explores how force feedback affects various aspects of robot data collection within the Extended Reality (XR) setting. Force feedback has been proved to enhance the user experience in Extended Reality (XR) by providing contact-rich information. However, its impact on robot data collection has not received much attention in the robotics community. This paper addresses this shortcoming by conducting an extensive user study on the effects of force feedback during data collection in XR. We extended two XR-based robot control interfaces, Kinesthetic Teaching and Motion Controllers, with haptic feedback features. The user study is conducted using manipulation tasks ranging from simple pick-place to complex peg assemble, requiring precise operations. The evaluations show that force feedback enhances task performance and user experience, particularly in tasks requiring high-precision manipulation. These improvements vary depending on the robot control interface and task complexity. This paper provides new insights into how different factors influence the impact of force feedback.
title Beyond Visuals: Investigating Force Feedback in Extended Reality for Robot Data Collection
topic Robotics
Human-Computer Interaction
url https://arxiv.org/abs/2503.20714