Update: The program is now available.  Please visit the program page for more details.


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.

This half-day 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.  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?

Contributed Papers

We encourage computing researchers interested in HRI applications as well as social scientists who experiment with technical implementations to submit their latest work to the workshop.  We intend to include a mix of position papers and technical papers. Papers will be limited to 6 pages in IEEE conference format.

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

Important Dates

  • January 13 January 27, 2014: Paper submission deadline
  • February 15, 2014: Notification of paper acceptance
  • February 28, 2014: Final paper versions due
  • March 3, 2014: Workshop, HRI Conference, Bielefeld, Germany


Brenna Argall, Northwestern University

Sonia Chernova, Worcestershire Polytechnic Institute

Kris Hauser, Indiana University at Bloomington

Chad Jenkins, Brown University