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 contributionAcademicpeer-review

Abstract

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 publication2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Subtitle of host publication[Proceedings]
PublisherIEEE Computer Society
Pages1278-1280
Number of pages3
ISBN (Electronic)9781665407311
ISBN (Print)9781665407328
DOIs
Publication statusPublished - 29 Sept 2022
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
Volume2022-March
ISSN (Electronic)2167-2148

Conference

Conference17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022
Country/TerritoryJapan
CitySapporo
Period7/03/2210/03/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

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

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