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<div dir="auto">Dear colleagues,<br />
<br />
We are now accepting submissions to the <strong>Robotics for People: Perspectives on Interaction, Learning, and Safety</strong> workshop, to be held at the Robotics: Science and Systems 2021 (RSS’21) conference.<br />
<br />
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.<br />
<br />
Our workshop accepts <strong>extended abstracts</strong> (2 pgs excluding references) and <strong>short/position papers</strong> (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.<br />
<br />
The workshop will include keynote talks, a panel debate, a poster session, and short talks for accepted papers.<br />
<br />
Topics for submission include (but are not limited to):<br />
<br />
- Decision-making under uncertainty and safety-oriented approaches<br />
- Safety considerations in uncertain, interactive settings<br />
- Safety-critical applications for HRI<br />
- Probabilistic models for robot learning<br />
- Social navigation<br />
- Human-robot collaboration and human behavior modeling<br />
- Multi-agent approaches for human-robot teams<br />
- Calibrating and estimating uncertainty in learned models<br />
- Learning from demonstration<br />
- Human-interactive robot learning<br />
- Cognitive architectures for interactive robots<br />
- HRI datasets, metrics, and benchmarks<br />
- Robot-interpretable human models<br />
- Explainability, transparency, and interpretability<br />
<br />
More information is available at our website: <a href="https://sites.google.com/view/r4p2021/" target="_blank">https://sites.google.com/view/r4p2021/</a><br />
<br />
<strong>*** Important Dates ***</strong><br />
Paper Submission: June 20th, 2021, anywhere on Earth<br />
Notification of Acceptance: July 1st, 2021, anywhere on Earth<br />
Camera-ready Deadline: July 12th, 2021, anywhere on Earth<br />
<br />
<strong>*** Confirmed Speakers ***</strong><br />
Yiannis Demiris, Professor, Imperial College London<br />
Stefanie Tellex, Associate Professor, Brown University<br />
Dan Bohus, Senior Principal Researcher, Microsoft Research<br />
Changliu Liu, Assistant Professor, CMU<br />
<br />
Best,<br />
<br />
Filipa Correia</div>
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<div dir="auto"><span style="caret-color: inherit !important; font-size: 10.666666984558105px; color: var(--textColor); background-color: var(--backgroundColor);">__________________________________________________________________</span><br style="caret-color: inherit !important;" /></div>
<div style="font-size: 10.666666984558105px;">PhD Student at Instituto Superior Técnico, University of Lisbon</div>
<div style="font-size: 10.666666984558105px;">Junior Researcher at <a href="https://twitter.com/GAIPSLab" style="caret-color: inherit !important;">GAIPSLab</a> - INESC-ID</div>
<div style="font-size: 10.666666984558105px;"><a href="https://filipacorreia.com/" style="caret-color: inherit !important;">filipacorreia.com</a></div>
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