Conclusion and Future Directions
The inaugural International Workshop on Virtual,
Augmented, and Mixed Reality for Human-Robot
Interaction at HRI 2018 was successful along a number of criteria. First, it brought together researchers
from across academe, industry, and government, and
from across the Americas, Europe, and Asia. Second,
it clarified a set of four research themes of interest to
this community: teleoperation through virtual reality, interaction training in virtual reality simulations,
augmented interfaces for human-robot interaction,
and intention communication through augmented
and mixed reality. And finally, it made clear to the
greater HRI community not only the amount of
interest in this nascent subfield, but also the broad
space of possible research problems that the emerging technologies in virtual, augmented, and mixed
reality can help the field of HRI address.
The workshop-organizing committee plans to take
the following steps to continue the momentum captured in this inaugural symposium: ( 1) we are planning a special issue on virtual, augmented, and mixed
reality for human-robot interaction, in a journal to be
determined, ( 2) we are writing a survey paper to tie
what was discussed at this workshop into the richer
research literature of papers that have recently been
presented in this area, and ( 3) we are planning to
organize a follow-up workshop next year.
The workshop was organized by Tom Williams,
Daniel Szafir, Tathagata Chakraborti, and Heni Ben-Amor. The workshop featured 30 papers, with contributions from all over the world (Asia and Oceania,
4. 1 percent; Europe, 33. 6 percent; North America,
62. 3 percent) and across different disciplines (
government, 3. 3 percent; industry, 11. 5 percent; academe, 85. 2 percent) The workshop was heavily attended, with more than 75 participants. The papers
presented at the workshop are available at vam-hri.xyz.
1. Teams are cited here as they appear on the accompanying workshop papers, available at vam-hri.xyz.
Fong, T.; Thorpe, C.; and Baur, C. 2001. Collaboration, Dia-
logue, and Human-Robot Interaction. In Robotics Research:
The 10th International Symposium, edited by R. A. Jarvis and
A. Zelinsky. Berlin: Springer.
Goodrich, M. A., and Schultz, A. C. 2007. Human-Robot
Interaction: A Survey. Foundations and Trends in Human-Computer Interaction 1( 3): 203–75.
Williams, T.; Szafir, D.; Chakraborti, T.; and Ben Amor, H.
2018. Virtual, Augmented, and Mixed Reality for Human-Robot Interaction. In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 403–4. New
York: Association for Computing Machinery.
Tom Williams is an assistant professor of computer science
at Colorado School of Mines, where he directs the Mines
Interactive Robotics Research (MIRROR) Lab. His research
focuses on enabling and understanding natural language–
based human-robot interaction, especially as applied to
assistive and search-and-rescue robotics. Williams previously served as program committee cochair for the 2016 HRI
Pioneers workshop and the AAAI Fall Symposium on AI for
HRI, special track session chair for EAAI, and senior program
committee member for AAAI.
Daniel Szafir is an assistant professor in the Department of
Computer Science and ATLAS Institute at the University of
Colorado Boulder, where he directs the Interactive Robotics
and Novel Technologies (IRON) Lab. His research at the
intersection of robotics and human-computer interaction
(HCI) focuses on investigating how novel technologies can
mediate interactions between people and autonomous systems. Szafir has previously served as the videos and demos
cochair for HRI 2017, an organizing committee member for
the RSS 2017 Workshop on Bridging the Gap in Space
Robotics, the panel chair for the 2015 HRI Pioneers workshop, and a program committee member for HRI, RO-MAN,
CHI, RSS, and ARSO.
Tathagata Chakraborti is a senior PhD student at Arizona
State University working in the Yochan Lab with Dr. Subbarao Kambhampati. His research interests include planning with humans in the loop, applications in task planning for human-robot teaming and cohabitation, and
proactive decision support. He has been on the organizing
team for the Workshop on Multiagent Interaction without
Prior Coordination (MIPC) at AAMAS- 17 and Workshop on
Explainable AI (XAI) at IJCAI 2017, as well as on the Review
Process Committee of IJCAI 2016. Recently, he was the team
lead of AERobotics Robotics, which featured in the US Finals
of the Microsoft Imagine Cup 2017.
Heni Ben Amor is an assistant professor at Arizona State
University, where he heads the ASU Interactive Robotics
Lab. Prior to that, he was a research scientist at the Institute
for Robotics and Intelligent Machines at Georgia Tech. He
studied computer science at the University of Koblenz-Lan-dau (GER) and earned a PhD in robotics from the Technical
University Freiberg and the University of Osaka in 2010,
and was a postdoctoral scholar at the Technical University
Darmstadt. His research topics focus on artificial intelligence, machine learning, human-robot interaction, robot
vision, and automatic motor skill acquisition. He received
the Daimler and Benz Fellowship, as well as several best
paper awards at major robotics and AI conferences. He is a
program committee member for various AI and robotics
conferences including AAAI, IJCAI, IROS, and ICRA.