*********************************************************************** AAAI Fall Symposium:
Interactive learning in Artificial Intelligence for Human-Robot Interaction (AI-HRI)
Arlington, Virginia USA, October 18-20, 2018
https://ai-hri.github.io/ ***********************************************************************
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://ai-hri.github.io/
*** 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://ai-hri.github.io or contact the AI-HRI submissions chair: Emmanuel Senft, Plymouth University: e************t@plymouth.ac.uk
*** 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)