HRI 2014 - Workshop on Algorithmic Human-Robot Interaction

Intelligent behavior in robots is implemented through algorithms. Historically, much of algorithmic robotics research strives to compute outputs that achieve mathematically rigid conditions, such as minimizing path length. But today’s robots are increasingly being used to empower the daily lives of people, and experience shows that traditional algorithmic approaches are poorly suited for the unpredictable, idiosyncratic, and adaptive nature of human-robot interaction. This raises a need for entirely new computational, mathematical, and technical approaches for robots to better understand and react to humans. The human-friendly robots of the future will need new algorithms, informed from the ground up by HRI research, to generate interpretable, ethical, socially-acceptable behavior, ensure safety around humans, and execute tasks of value to society.
*** Objectives ***
This workshop brings together computational and social science perspectives to discuss recent HRI-related algorithmic developments and studies, and catalyze closer ties to make progress toward the mutual vision of human-friendly robots.
Topics may include, but are not limited to:
- Human behavior modeling and activity recognition
- Learning from human teachers
- Human-robot collaboration
- Safe navigation around humans
- Planning and decision-making under uncertainty
- Human intent recognition
- Software tools for HRI social scientists
Of particular interest are works that advance our understanding of one or more of the following areas:
- How are existing algorithms limited in their ability to deliver high-quality HRI? How can these limitations be overcome?
- What assumptions are made in computational research about human behavior and how valid are they?
- What assumptions are made in behavioral research about algorithmic capabilities, and how valid are they?
- How can computational researchers develop algorithms to better support the needs of HRI research?
- What techniques help narrow the gap between the results of HRI studies and their implementations in robots deployed in the real world?
Authors are encouraged to submit preliminary work in progress as well as surveys of existing work. Contributed papers will include a mix of position papers and technical papers.
*** Important Dates ***
January 13, 2014: Submission deadline
February 15, 2014: Notification of acceptance
February 28, 2014: Final versions due
March 3, 2014: AHRI workshop date
*** Organizers ***
Brenna Argall, Northwester University
Sonia Chernova, Worcestershire Polytechnic University
Kris Hauser, Indiana University
Chad Jenkins, Brown University
*** Contact Us ***
For more information, please visit the workshop website athttp://ahri2014.soic.indiana.edu/ or contact the organizers at ahri2014-l-AT-indiana.edu.