[socios-spr] CFP: RSS'21 workshop on Robotics for People (R4P)

[Filipa Correia]

Dear colleagues,

We are now accepting submissions to the Robotics for People: Perspectives on Interaction, Learning, and Safety workshop, to be held at the Robotics: Science and Systems 2021 (RSS’21) conference.

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:Â 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, Professor, Imperial College London
Stefanie Tellex, Associate Professor, Brown University
Dan Bohus, Senior Principal Researcher, Microsoft Research
Changliu Liu, Assistant Professor, CMU

Best,

Filipa Correia

__________________________________________________________________
PhD Student at Instituto Superior Técnico, University of Lisbon
Junior Researcher at GAIPSLab - INESC-ID
filipacorreia.com
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