[robotics-worldwide] [meetings] AAAI Fall Symposium: Interactive learning in Artificial Intelligence for Human-Robot Interaction (AI-HRI)

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[robotics-worldwide] [meetings] AAAI Fall Symposium: Interactive learning in Artificial Intelligence for Human-Robot Interaction (AI-HRI)

Luca Iocchi-2

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AAAI Fall Symposium:

Interactive learning in Artificial Intelligence for Human-Robot
Interaction (AI-HRI)

Arlington, Virginia USA, October 18-20, 2018

https://urldefense.proofpoint.com/v2/url?u=https-3A__ai-2Dhri.github.io_&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=DtaOUZW8k1-zjyqR5XRWLGYXmgpoNYY0pLdy5cmCp_Q&s=BScQRR1oA_-5t_PjTBkmCfSzwcugYplZOYkUWJGoYLM&e=
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The goal of this year's Artificial Intelligence (AI) for Human-Robot
Interaction (HRI) symposium is to bring together the large community of
researchers working on interactive learning scenarios for interactive
robotics. While current HRI research involves investigating ways for
robots to effectively interact with people, HRI's overarching goal is to
develop robots that are autonomous while intelligently modeling and
learning from humans. These goals greatly overlap with some central
goals of AI and interactive machine learning such that HRI is an
extremely challenging problem domain for interactive learning and will
elicit fresh problem areas for robotics research.

Our symposium will focus on one common area of interest within the
broader scope of HRI is an AI problem and AI is an HRI problem:
interactive machine learning for interactive robotics. We believe that
the fusion of HRI and interactive learning may provide new insights and
discussions that could benefit both fields. The symposium will include
research talks and discussions both to share work in this intersectional
area, guidance for how to best frame AI-centric HRI work within AI
venues, and a great deal of community building through discussion and
tutorials.


***PAPER CATEGORY***

Authors may submit under one of three paper categories:

* Full papers (6–8 pages) highlighting state-of-the-art HRI-oriented
interactive learning research, HRI research focusing on the use of
autonomous AI systems, or the implementation of AI systems in commercial
HRI products.
* Short position papers (3–4 pages) outlining new or controversial views
on AI-HRI research or describing ongoing AI-oriented HRI research.
* Tool papers (1–2 pages) describing novel software, hardware, or
datasets of interest to the AI-HRI community.

In addition, philosophy and social science researchers are encouraged to
submit short papers suggesting AI advances that would facilitate the
design, implementation, or analysis of HRI studies. Industry
professionals are encouraged to submit short papers suggesting AI
advances that would facilitate the development, enhancement, or
deployment of HRI technologies in the real world.


***SUBMISSION WEBSITE***

Information about submission will be available in the symposium web site
https://urldefense.proofpoint.com/v2/url?u=https-3A__ai-2Dhri.github.io_&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=DtaOUZW8k1-zjyqR5XRWLGYXmgpoNYY0pLdy5cmCp_Q&s=BScQRR1oA_-5t_PjTBkmCfSzwcugYplZOYkUWJGoYLM&e=


*** IMPORTANT DATES ***

SUBMISSION:  July, 20, 2018, 11:59 PM PT (UTC-7)
NOTIFICATION: August 10, 2018
SYMPOSIUM: October 18-20, 2018 in Arlington, VA

For more information, visit https://urldefense.proofpoint.com/v2/url?u=https-3A__ai-2Dhri.github.io&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=DtaOUZW8k1-zjyqR5XRWLGYXmgpoNYY0pLdy5cmCp_Q&s=SfGl2Y_RY0J49J5pXadnUxSxEMTVTftliTrP1Z-hmDU&e= or contact the
AI-HRI submissions chair:
Emmanuel Senft, Plymouth University: [hidden email]


*** ORGANIZING COMMITTEE ***

Kalesha Bullard (Georgia Institute of Technology)
Nick DePalma (FutureWei Technologies)
Richard G. Freedman (University of Massachusetts Amherst/SIFT)
Bradley Hayes (University of Colorado Boulder)
Luca Iocchi (Sapienza University of Rome)
Katrin Lohan (Heriot-Watt University)
Ross Mead (Semio)
Emmanuel Senft (Plymouth University)
Tom Williams (Colorado School of Mines)

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