RSS 2020 Workshop: AI & It's Alternatives in Assistive & Collaborative Robotics July 13, 2020 |
Conference website | https://sites.google.com/u.northwestern.edu/rss2020aiacrworkshop/home |
Submission deadline | June 20, 2020 |
Notification of acceptance | June 27, 2020 |
Camera-ready deadline | July 4, 2020 |
Submission Guidelines
We solicit extended abstracts for peer review. Abstracts should conform to RSS style guidelines and should be a maximum of 4 pages (excluding references). Submissions can include archived or previously accepted work (please make a note of this in the submission). Specifically, we invite participants to contribute with papers for two kinds of submissions:
- Traditional workshop submissions presenting preliminary results of ongoing research.
- Submissions linked to already published papers coming from:
- Journal papers, which have not had the chance to be discussed in a conference.
- Conference papers, which come from non-robotics conferences (e.g. cognitive science, machine learning). Although these papers already had exposure in a conference, the workshop is a great opportunity to give visibility to these contributions within the robotics community.
Please note that reviewing will be single blind. Also, all accepted contributions will be in the form of lightning talks followed by breakout sessions that participants can drop in and talk to each of the presenters about their work!
Abstract
Human-robot teaming (HRT) is an interdisciplinary domain, largely because it is a bidirectional challenge — the robot must infer human intent to provide assistance, and the human must understand the robot’s intent to provide commands or adjust behavior. For one, the autonomous agent is constrained by safety, calling for the application of formal methods and explainable AI. What’s more, the exchange of information is limited by partial observability and often underdefined — it can take place via passive observation, an established language of communication or through active interaction with a collaborating partner — lending itself to insights on how people learn to collaborate with each other. Finally, context plays an important role, making the problem high-dimensional with often ill-specified reward structures. Our workshop will facilitate a discussion between researchers that explore the human side of these interactions and those that propose new algorithmic solutions, spanning cognitive science, artificial intelligence, control theory, and more. We will aim to define and address challenges in human-robot teaming by asking questions like — what are effective approaches to inferring intent? How do we incorporate formal notions of safety with data-driven methods? Can we take learnings from autonomous (or assisted) driving and generalize them to other HRT scenarios? Can we design interpretable AI to better facilitate HRT? And finally, how do we use insights from psychology, neuroscience, and theory of mind to create more intuitive robotic interfaces? This workshop will foster multidisciplinary discussion and friendly debate as well as consolidate perspectives, methodologies, and assessment tools to grow research efforts in human-centered robotics.
List of Topics
- Shared autonomy / Human-in-the-loop systems
- Cognitive science for Human-Robot Interaction (HRI)
- Theory of mind for HRI
- Data-driven models of the human and/or autonomous partner for HRI
- Inferring intent with limited sensory input
- Interpretable AI for HRI
- Formal notions of safety in HRI
- Assistive robotics
- Collaborative robotics
- And more ... !
Publication
RSS 2020: AI+ACR Workshop proceedings will be published on the workshop's official website.
Venue
We're going virtual! The workshop will be held online and accessible regardless of where are you on the globe.
Submission
Please direct any of your questions and email all submissions to Aleksandra (Ola) Kalinowska (ola@u.northwestern.edu) and Katarina Popovic (kpopovic@u.northwestern.edu).