logo2023

We are happy to announce the the 6th International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions at HRI 2023. 😎. We are excited to hold a hybrid workshop in Stockholm, Sweden on March 13, 2023! The organizing committee is currently working hard at bringing you more details about our workshop. Please check back soon!

Call for Papers

Author Information/Submission Instructions

Program

Paper acceptances have been sent out! You can see the program schedule above.

Upcoming Dates

Early submission: Jan. 28, 2023 @ 11:59pm (AOE)

Normal submission: Feb. 18, 2023 @ 11:59pm (AOE)

Notification of Acceptance: Feb 25, 2023

Workshop date: March 13, 2023

Takeaway from last year's work shop: The 5th VAM-HRI Workshop (video, website) in 2022 had 14 papers that were ultimately published in the venue’s proceedings. These papers were grouped using the new VAM-HRI Virtual Design Element Taxonomy " Virtual, Augmented, and Mixed Reality for Human-Robot Interaction: A Survey and Virtual Design Element Taxonomy" that was designed by past and present chairs of the VAM-HRI Workshop. In addition, the online version of this taxonomy presents the categorization of all surveyed papers, through various forms of visualization to enable the researcher to explore the space of research in this field through the taxonomic classification proposed in this paper. This interface has been built using a survey visualizer tool that is accessible at: vamhri.com. The online interactive platform is a tool for new students to explore and become quickly initiated with the field, as well as for researchers, new and experienced, to identify gaps in existing literature and push the community forward. This platform serves as a living resource that the VAM-HRI community may use to track the continued progress and growth of our nascent field.

Keynote Speaker


Cynthia Matuszek

Assistant Professor at UMBC

Cynthia's work focuses on the problem of grounded language acquisition: extracting semantically meaningful representations of human language by mapping those representations to the noisy, unpredictable physical world in which robots operate. Cynthia combines robotics, natural language processing, and machine learning to build systems that non-specialists can instruct, control, and interact with intuitively and naturally.

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Panel


Cynthia Matuszek

Assistant Professor at UMBC

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Bastian Orthmann

Interaction Designer

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Srinath Sridhar

Assistant Professor at Brown University

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Tom Williams

Associate Professor at Colorado School of Mines

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Organizers

If you are interested in helping organize this workshop in the future, reach out to us at vam.hri@gmail.com.


Christine T. Chang

University of Colorado Boulder

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Michael E. Walker

University of North Carolina at Chapel Hill

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Maciej Wozniak

KTH Royal Institute of Technology

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Matthew Luebbers

University of Colorado Boulder

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Bryce Ikeda

University of North Carolina at Chapel Hill

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Emily Jensen

University of Colorado Boulder

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Thomas R. Groechel

University of Southern California

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Eric Rosen

Brown University

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Steering Committee


Stefanie Tellex

Brown University

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Andre Pereira

KTH Royal Institute of Technology

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Jivko Sinapov

Tufts University

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