As robots become more and more integrated into various work and living environments, there is a growing need to develop intuitive, natural ways for humans and robots to communicate for effective collaboration. The topic of natural human-robot communication has been studied by researchers from diverse communities including Natural Language Processing, Computer Vision, Robotics, and Human-Computer Interaction. However, these communities tend to focus on specific challenges that are unique in their own disciplines, and there is relatively little collaboration across fields. This symposium aims to bring together researchers from different disciplines to brainstorm and discuss experimental ideas toward the common goal of natural human-robot interaction.
If you have any questions, please contact the organizers.
We welcome exploratory ideas and cross-disciplinary work. We target a broad set of topics related to natural communication between humans and robots including, but not limited to, the following:
We invite participants to submit extended abstracts (max two pages, exclusive of one page for references) or full-length technical papers (max six pages, exclusive of one page for references) that describe recent or ongoing research. Papers should be in PDF format and adhere to the AAAI format. The AAAI Author Kit provides templates for LaTeX and Word. Note that papers will be reviewed in a single-blind manner.
Papers, abstracts, and supplementary materials can be submitted by logging into the conference management website located at:
We are in the process of confirming speakers. Those who have agreed so far include:
|Abstract/paper submission deadline|
|August 25, 2017||Notification of acceptance|
|October 13, 2017||Registration deadline||November 9–11, 2017||Fall Symposium Series|
The symposium spans two-and-a-half days and will include invited and contributed talks, interactive sessions, and open discussions. The schedule will be posted soon.
Please register for the symposium through the AAAI website. Note that the deadline for registration is October 13, 2017.
Jacob Arkin, University of Rochester
Yoav Artzi, Cornell University
Mohit Bansal, University of North Carolina
Yonatan Bisk, University of Southern California
Joyce Chai, Michigan State University
Anthony Cohn, University of Leeds
Sanja Fidler, University of Toronto
Alborz Geramifard, Amazon
Raia Hadsell, Google DeepMind
Thomas Howard, University of Rochester
Thomas Kollar, Amazon
Hadas Kress-Gazit, Cornell University
Matthew Marge, Army Research Laboratory
Maja Mataric, University of Southern California
Cynthia Matuszek, University of Maryland, Baltimore County
Hongyuan Mei, Johns Hopkins University
Wolfgang Minker, University of Ulm
Dipendra Misra, Cornell University
Raymond Mooney, University of Texas, Austin
Rohan Paul, Massachusetts Institute of Technology
Peter Stone, University of Texas, Austin