Abstract
With robots poised to enter our daily environments, 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 humanrobot interaction communities is the design of teachable robots 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. Last year we began consolidating the needed definitions and vocabulary to enable fruitful discussions between researchers from these interdisciplinary fields, and identified a preliminary list of long, medium, and short-term research problems for the community to tackle, and existing tools and frameworks that can be leveraged to this end. This workshop will build upon these discussions, focusing on promoting the specification and design of HIRL benchmarks.
Original language | English |
---|---|
Title of host publication | HRI 2023 - Companion of the ACM/IEEE International Conference on Human-Robot Interaction |
Publisher | IEEE Computer Society |
Pages | 947-949 |
Number of pages | 3 |
ISBN (Electronic) | 9781450399708 |
DOIs | |
State | Published - 13 Mar 2023 |
Event | 18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023 - Stockholm, Sweden Duration: 13 Mar 2023 → 16 Mar 2023 |
Publication series
Name | ACM/IEEE International Conference on Human-Robot Interaction |
---|---|
ISSN (Electronic) | 2167-2148 |
Conference
Conference | 18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023 |
---|---|
Country/Territory | Sweden |
City | Stockholm |
Period | 13/03/23 → 16/03/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE Computer Society. All rights reserved.
Keywords
- Interactive robot learning
- Learning from human input
- Socially intelligent robots
- Socially interactive learning
Fingerprint
Dive into the research topics of '2ndWorkshop on Human-Interactive Robot Learning (HIRL)'. Together they form a unique fingerprint.Press/Media
-
הדור הבא של טכנולוגיית בינה מלאכותית: כלב נחייה רובוטי [הסכת]
Mirsky, R.
10/05/23
1 Media contribution
Press/Media