March 15, 2024

3rd Workshop on Human-Interactive Robot Learning
(HIRL)

Half-day workshop @ HRI 2024
In Boulder, Colorado (USA) and remote (via Zoom)

THANKS FOR PARTICIPATING TO THE WORKSHOP

Workshop papers are in! 📑 Check them out here

Main HRI Conference Website

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 human-robot interaction communities is the design of teachable robots that can learn interactively from humans. To refer to these research efforts, we use the umbrella term Human-Interactive Robot Learning (HIRL).

In the last 2 years we began consolidating what defines HIRL in terms of long, medium, and short-term research problems and the different communities that are involved. With this third installment of the HIRL workshop, we aim at further consolidating this community and, specifically this year, discuss how the recent widespread of Large Language Models (LLMs) will impact the teaching of robots and explore the opportunities and challenges presented by their status of embodied agents.

This year, we focus on Large Language Models (LLMs) for HIRL and encourage relevant contributions. However, we welcome other relevant work, including but not limited to:

Learning from demonstration (LfD), learning by imitation, or learning from observation
Interactive Reinforcement Learning (IntRL)
Inverse Reinforcement Learning (IRL)
Robot learning from human feedback (including advice, corrections, etc.) and human-guided exploration
Active learning and curiosity-driven learning
Teacher-learner interaction and its impact on the training (focusing on HRI evaluation metrics)
Human-in-the-loop lifelong learning
Social signal processing for human teaching behaviors
Robot teaching interfaces, from kinesthetic teaching to natural language