Please note the following updates for this 2nd call for papers:
• Submission deadline extended to July 31, 2019
• Changed link to the paper template material (AAAI 2019 author kit)
CALL FOR PAPERS:
The sixth annual AAAI Fall Symposium on Artificial Intelligence for
Human-Robot Interaction (AI-HRI) will take place on November 7-9 at the
Westin Arlington Gateway in Arlington, VA, USA, and is now open for paper
submissions as indicated below. For more information, please visit the
symposium website (https://ai-hri.github.io).
• SUBMISSION: July 31, 2019 (EXTENDED)
• NOTIFICATION: August 10, 2019
• SYMPOSIUM: November 7-9, 2019
The past few years have seen rapid progress in the development of service
robots. Universities and companies alike have launched major research
efforts toward the deployment of ambitious systems designed to aid human
operators performing a variety of tasks. These robots are intended to make
those who may otherwise need to live in assisted care facilities more
independent, to help workers perform their jobs, or simply to make life
more convenient. Service robots provide a powerful platform on which to
study Artificial Intelligence (AI) and Human-Robot Interaction (HRI) in the
real world. Research sitting at the intersection of AI and HRI is crucial
to the success of service robots if they are to fulfill their mission.
This symposium seeks to highlight research enabling robots to effectively
interact with people autonomously while modeling, planning, and reasoning
about the environment that the robot operates in and the tasks that it must
perform. AI-HRI deals with the challenge of interacting with humans in
environments that are relatively unstructured or which are structured
around people rather than machines, as well as the possibility that the
robot may need to interact naturally with people rather than through teach
pendants, programming, or similar interfaces.
• Architectures and systems supporting autonomous HRI
• Interactive learning
• Interactive dialog systems and natural language
• Field studies, experimental, and empirical HRI
• Tools for autonomous HRI
• Design ethnography for service robots
• Development, fielding, and experimentation for service robots
• Physical human-robot interaction
• Knowledge representation and reasoning to support HRI and robot tasking
• Applications of autonomous service robots
In addition to oral and poster presentations of accepted papers, the
symposium will include panel discussions, position talks, keynote
presentations, and a hack session with ample time for networking.
• SPEAKERS: Keynote talks will give different perspectives on AI-HRI and
showcase recent advances towards humans interacting with robots on everyday
tasks. Moderated discussions and debates will allow participants to engage
in collaborative public discussion on controversial topics and issues of
interest to the AI-HRI community.
• NETWORKING: A large part of this effort is to bring together a community
of researchers, strengthen old connections, and build new ones. Ample time
will be provided for networking and informal discussions.
PRESENTATION AND PUBLICATION:
All accepted full and short papers will be presented orally and published
in the proceedings through Arxiv. Authors will be notified as to whether
they have been assigned a “full-length” or “lightning” presentation slot.
Authors assigned to full-length talks will be invited to participate in a
panel discussion. Authors assigned to lightning talks will be invited to
participate in a poster session.
Authors may submit under one of these paper categories:
• FULL PAPERS (6-8 pages) highlighting state-of-the-art HRI-oriented
interacting learning research, HRI research focusing on the use of
autonomous AI systems, or the implementation of AI systems in commercial
• SHORT POSITION PAPERS (2-4 pages) outlining new or controversial views on
AI-HRI research or describing ongoing AI-oriented HRI research.
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.
Please see the AAAI Author Kit (
https://www.aaai.org/Publications/Templates/AuthorKit19.zip) for paper
templates to ensure that your submission has proper formatting.
Contributions may be submitted here:
The AI-HRI 2019 program chairs
• Justin W. Hart (UT Austin)
• Nick DePalma (Samsung Research of America)
• Richard G. Freedman (Smart Information Flow Technologies and UMass
• Luca Iocchi (Sapienza University of Rome)
• Matteo Leonetti (University of Leeds)
• Katrin Lohan (Heriot-Watt University)
• Ross Mead (Semio)
• Emmanuel Senft (Plymouth University)
• Jivko Sinapov (Tufts University)
• Elin A. Topp (Lund University)
• Tom Williams (Colorado School of Mines)
Ross Mead, PhD
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