HIRL-23: Human Robot Interactive Learning HRI Stockholm, Sweden, March 13, 2023 |
Conference website | https://sites.google.com/view/hirl23/home |
Submission link | https://easychair.org/conferences/?conf=hirl23 |
Submission deadline | January 20, 2023 |
Description
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 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.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 interdiciplinary 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.
We accept submission in (but not limited to) the following topics:
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Learning from demonstration, learning by imitation, or learning from observation
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Inverse reinforcement learning
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Interactive reinforcement learning
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Robot learning from human feedback (including advice, corrections, etc.)
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Standardized task development for HIRL
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Evaluation metrics for learners and teachers
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Social signal processing for human teaching behaviors
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Natural teaching interfaces
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Teacher-learner adaptation
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Human-guided exploration
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Human-in-the-loop lifelong learning
Submission Guidelines
We accept extended abstracts (2 pages, excluding references) as well as full papers (6-8 pages, excluding references) that will be presented in presentation sessions and in a poster session. Papers must be high-resolution PDF format, using the IEEE conference format. Submissions must conform to the HRI-23 submission anonymizing instructions.
Contact
All questions about submissions should be emailed to Reuth Mirsky, mirskyr@cs.biu.ac.il