AI & Its Alternatives in Assistive & Collaborative Robotics: Decoding Intent
RSS 2020 Workshop
Given the current situation, the workshop will be held online. We are still working on the logistics and will be updating this website as we know more.
Meanwhile, the submission deadlines have been extended. Check below for details and consider submitting!
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.
Chris Baker MIT
Maya CakmakUniversity of Washington
Bill SmartOregon State University
Guy Rosman Toyota Research Institute
Brandon NorthcuttToyota Research Institute
Guy HoffmanCornell University
Dorsa SadighStanford University
Submission deadline (AoE time) April 30th
Notification of acceptance May 16th
Camera-ready deadline June 15th
Workshop July 13th
Call for Abstracts
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). Reviewing will be single blind.
Submission link: https://easychair.org/cfp/RSS2020_AI-ACR-Workshop
Topics of interest include, but are not limited to:
- 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 Shared autonomy / Human-in-the-loop systems
- Interpretable AI for HRI
- Formal notions of safety in HRI
- Assistive robotics
- Collaborative robotics
All accepted contributions will be presented in an interactive poster session and short talks during the workshop.