Human-Interactive Robot Learning (HIRL)

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 l...

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Bibliographic Details

Published in:	2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI) pp. 1278 - 1280
Main Authors:	Mirsky, Reuth, Baraka, Kim, Faulkner, Taylor Kessler, Hart, Justin, Yedidsion, Harel, Xiao, Xuesu
Format:	Conference Proceeding
Language:	English
Published:	IEEE 07.03.2022
Subjects:	Benchmark testing Conferences Ethics Interactive robot learning Learning from human input Machine learning algorithms Measurement Neuroscience Pressing Socially intelligent robots Socially interactive learning
Online Access:	Get full text
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