1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
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.
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:
The current list of confirmed speakers includes:
Yejin Choi (University of Washington)
Sanja Fidler (University of Toronto)
Joyce Chai (Michigan State University)
David Traum (University of Southern California)
Benjamin Kuipers (University of Michigan)
Alborz Geramifard (Amazon Echo)
: Abstract/paper submission deadline
: Notification of acceptance
: Registration deadline
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.
Papers, abstracts, and supplementary materials can be submitted by logging in to the conference management website located at: https://cmt3.research.microsoft.com/NCHRC2017/
Jean Oh (Carnegie Mellon University)
Matthew Walter (Toyota Technological Institute at Chicago)
Zhou Yu (University of California, Davis)
Contact email: firstname.lastname@example.org
Submission Deadline (if any):
© Copyright 2019 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.