June 2nd, 2021 
Daniela Lopez de Luise This is a full-day workshop that aims to bring together experts from the Human-Robot Interaction, Machine Learning, and Motion Planning communities to create a road map for safer, smarter robots.
Our workshop accepts extended abstracts (2 pgs excluding references) and short/position papers (4 pgs excluding references) in IEEE two column format. Papers will undergo a double-blind peer review process, and accepted papers and posters will be hosted on our website. We are a non-archival workshop, meaning we also accept iterations on previous or ongoing work.
The workshop will include keynote talks, a panel debate, a poster session, and short talks for accepted papers.
Topics for submission include (but are not limited to):
– Decision-making under uncertainty and safety-oriented approaches
– Safety considerations in uncertain, interactive settings
– Safety-critical applications for HRI
– Probabilistic models for robot learning
– Social navigation
– Human-robot collaboration and human behavior modeling
– Multi-agent approaches for human-robot teams
– Calibrating and estimating uncertainty in learned models
– Learning from demonstration
– Human-interactive robot learning
– Cognitive architectures for interactive robots
– HRI datasets, metrics, and benchmarks
– Robot-interpretable human models
– Explainability, transparency, and interpretability
More information is available at our website: https://sites.google.com/view/r4p2021/
*** Important Dates ***
Paper Submission: June 20th, 2021, anywhere on Earth
Notification of Acceptance: July 1st, 2021, anywhere on Earth
Camera-ready Deadline: July 12th, 2021, anywhere on Earth
*** Confirmed Speakers ***
Yiannis Demiris, Imperial College London, UK
Stefanie Tellex, Brown University, USA
Dan Bohus, Microsoft AI Research, USA
Changliu Liu, Carnegie Mellon University, USA
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