We are delighted to announce a special issue on robot learning, a broad field which is deeply rooted
into fundamental techniques of machine learning and human robot interaction. We are looking for
high-quality, original research papers from all areas of research and development in robot learning,
from studies of embodied agents and purely algorithmic results to complete systems demonstrating
practical deployments and seamless human-robot interaction and knowledge acquisition. We are also
looking for short Focus articles to provide snapshots of research for a wider audience.
Presubmission inquiries and expressions of interest should be sent to [hidden email]. We
request that all expressions of interest include article title, author list and affiliations, and
abstract (<200 words). Expressions of interest for reviews and research articles should also include
a brief outline.
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