Human-Interactive Robot Learning (HIRL)

Reuth Mirsky, Kim Baraka, Taylor Kessler Faulkner, Justin Hart, Harel Yedidsion, Xuesu Xiao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


With robots poised to enter our daily environments, we conjecture that they will not only need to work for people, but also learn from them. An active area of investigation in the robotics, machine learning, and human-robot interaction communities is the design of teachable robotic agents that can learn interactively from human input. To refer to these research efforts, we use the umbrella term Human-Interactive Robot Learning (HIRL). While algorithmic solutions for robots learning from people have been investigated in a variety of ways, HIRL, as a fairly new research area, is still lacking: 1) a formal set of definitions to classify related but distinct research problems or solutions, 2) benchmark tasks, interactions, and metrics to evaluate the performance of HIRL algorithms and interactions, and 3) clear long-term research challenges to be addressed by different communities. The main goal of this workshop will be to consolidate relevant recent work falling under the HIRL umbrella into a coherent set of long, medium, and short-term research problems, and identify the most pressing future research goals in this area. As HIRL is a developing research area, this workshop is an opportunity to break the existing boundaries between relevant research communities by developing and sharing a diverse set of benchmark tasks and metrics for HIRL, inspired by other fields including neuroscience, biology, and ethics research.

Original languageEnglish
Title of host publicationHRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
PublisherInstitute of Electrical and Electronics Engineers
Number of pages3
ISBN (Electronic)9781538685549
StatePublished - 1 Jan 2022
Externally publishedYes
Event17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 - Sapporo, Japan
Duration: 7 Mar 202210 Mar 2022

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148


Conference17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022


  • Interactive robot learning
  • Learning from human input
  • Socially intelligent robots
  • Socially interactive learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering


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