Collaborative Meat Processing in Virtual Reality: Evaluating Perceived Safety and Predictability of Robot Approach

Lærke Isabella Nørregaard Hansen; Niklas Vinther; Lukas Stranovsky; Mark Philip Philipsen; Haiyan Wu; Thomas B. Moeslund

Collaborative Meat Processing in Virtual Reality: Evaluating Perceived Safety and Predictability of Robot Approach

Lærke Isabella Nørregaard Hansen, Niklas Vinther, Lukas Stranovsky, Mark Philip Philipsen, Haiyan Wu, Thomas B. Moeslund

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Abstract

Efficient and safe collaboration between humans and industrial robots requires a mutual understanding that can be achieved by clearly signalling intentions and acting predictably. We present a preliminary version of a virtual reality environment, which is intended as a platform for development and evaluation of techniques that enable collaboration with industrial robots. In addition, we presents a user study for evaluating two speed profiles for having large industrial robots approach a human coworker. We compare the predictability and the perceived safety of the speed profiles, showing that test participants prefer a gradual slowdown, as the robot approaches, opposed to a faster approach where the slowdown is more abrupt.

Original language	English
Title of host publication	Proceedings of the VAM-HRI 2018 : The First International Workshop on Virtual, Augmented and Mixed Reality for Human-Robot Interaction
Number of pages	5
Publisher	VAM-HRI
Publication date	5 Mar 2018
Publication status	Published - 5 Mar 2018
Event	International Conference on Human Robot Interaction (HRI 2018) - Chicago, United States Duration: 5 Mar 2018 → 8 Mar 2018

Conference

Conference	International Conference on Human Robot Interaction (HRI 2018)
Country/Territory	United States
City	Chicago
Period	05/03/2018 → 08/03/2018

Keywords

VR

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1 Finished

Applications of Vision and Robotics in Meat Production
Philipsen, M. P., Moeslund, T. B. & Søndergaard Jensen, C.
02/01/2017 → 31/01/2020
Project: Research

1 PhD thesis

Applications of Vision and Robotics in Meat Production
Philipsen, M. P., 2020, Aalborg Universitetsforlag. 224 p.
Research output: PhD thesis

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Hansen, L. I. N., Vinther, N., Stranovsky, L., Philipsen, M. P., Wu, H., & Moeslund, T. B. (2018). Collaborative Meat Processing in Virtual Reality: Evaluating Perceived Safety and Predictability of Robot Approach. In Proceedings of the VAM-HRI 2018: The First International Workshop on Virtual, Augmented and Mixed Reality for Human-Robot Interaction VAM-HRI. http://www.vam-hri.xyz/v2018/files/pdf/vam-hri-2018-proceedings.pdf

@inproceedings{a245dba35b8d4bc184e28c08da1ab497,

title = "Collaborative Meat Processing in Virtual Reality: Evaluating Perceived Safety and Predictability of Robot Approach",

abstract = "Efficient and safe collaboration between humans and industrial robots requires a mutual understanding that can be achieved by clearly signalling intentions and acting predictably. We present a preliminary version of a virtual reality environment, which is intended as a platform for development and evaluation of techniques that enable collaboration with industrial robots. In addition, we presents a user study for evaluating two speed profiles for having large industrial robots approach a human coworker. We compare the predictability and the perceived safety of the speed profiles, showing that test participants prefer a gradual slowdown, as the robot approaches, opposed to a faster approach where the slowdown is more abrupt.",

keywords = "VR",

author = "Hansen, {L{\ae}rke Isabella N{\o}rregaard} and Niklas Vinther and Lukas Stranovsky and Philipsen, {Mark Philip} and Haiyan Wu and Moeslund, {Thomas B.}",

year = "2018",

month = mar,

day = "5",

language = "English",

booktitle = "Proceedings of the VAM-HRI 2018",

publisher = "VAM-HRI",

note = "International Conference on Human Robot Interaction (HRI 2018) ; Conference date: 05-03-2018 Through 08-03-2018",

}

Hansen, LIN, Vinther, N, Stranovsky, L, Philipsen, MP, Wu, H & Moeslund, TB 2018, Collaborative Meat Processing in Virtual Reality: Evaluating Perceived Safety and Predictability of Robot Approach. in Proceedings of the VAM-HRI 2018: The First International Workshop on Virtual, Augmented and Mixed Reality for Human-Robot Interaction. VAM-HRI, International Conference on Human Robot Interaction (HRI 2018), Chicago, United States, 05/03/2018. <http://www.vam-hri.xyz/v2018/files/pdf/vam-hri-2018-proceedings.pdf>

Collaborative Meat Processing in Virtual Reality: Evaluating Perceived Safety and Predictability of Robot Approach. / Hansen, Lærke Isabella Nørregaard; Vinther, Niklas; Stranovsky, Lukas et al.
Proceedings of the VAM-HRI 2018: The First International Workshop on Virtual, Augmented and Mixed Reality for Human-Robot Interaction. VAM-HRI, 2018.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Collaborative Meat Processing in Virtual Reality

T2 - International Conference on Human Robot Interaction (HRI 2018)

AU - Hansen, Lærke Isabella Nørregaard

AU - Vinther, Niklas

AU - Stranovsky, Lukas

AU - Philipsen, Mark Philip

AU - Wu, Haiyan

AU - Moeslund, Thomas B.

PY - 2018/3/5

Y1 - 2018/3/5

N2 - Efficient and safe collaboration between humans and industrial robots requires a mutual understanding that can be achieved by clearly signalling intentions and acting predictably. We present a preliminary version of a virtual reality environment, which is intended as a platform for development and evaluation of techniques that enable collaboration with industrial robots. In addition, we presents a user study for evaluating two speed profiles for having large industrial robots approach a human coworker. We compare the predictability and the perceived safety of the speed profiles, showing that test participants prefer a gradual slowdown, as the robot approaches, opposed to a faster approach where the slowdown is more abrupt.

AB - Efficient and safe collaboration between humans and industrial robots requires a mutual understanding that can be achieved by clearly signalling intentions and acting predictably. We present a preliminary version of a virtual reality environment, which is intended as a platform for development and evaluation of techniques that enable collaboration with industrial robots. In addition, we presents a user study for evaluating two speed profiles for having large industrial robots approach a human coworker. We compare the predictability and the perceived safety of the speed profiles, showing that test participants prefer a gradual slowdown, as the robot approaches, opposed to a faster approach where the slowdown is more abrupt.

KW - VR

M3 - Article in proceeding

BT - Proceedings of the VAM-HRI 2018

PB - VAM-HRI

Y2 - 5 March 2018 through 8 March 2018

ER -

Collaborative Meat Processing in Virtual Reality: Evaluating Perceived Safety and Predictability of Robot Approach

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Applications of Vision and Robotics in Meat Production

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Applications of Vision and Robotics in Meat Production

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