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

Luca Iocchi iocchi at diag.uniroma1.it
Tue Jul 17 14:52:39 PDT 2018

[Apologies for cross-posting]

AAAI Fall Symposium:

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

Arlington, Virginia USA, October 18-20, 2018


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 


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.


Information about submission are available in the symposium web site

Submission site:


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=n0E9kqSX-kCr0__OAW2WwYB47ORHF5dN-ukXJD9fHlA&s=c2pj3blAD9ieYclddU-pWyKttiVQ4hH6QNv8aHC4eMM&e= or contact the 
AI-HRI submissions chair:
Emmanuel Senft, Plymouth University: emmanuel.senft at plymouth.ac.uk


Kalesha Bullard (Georgia Institute of Technology)
Nick DePalma (Samsung Research of America)
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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