ICRA 2023 Workshop on Compositional Robotics: Mathematics and Tools

In the last decade the research on embodied intelligence has observed important developments. While the complexity of robotic systems has dramatically increased, both from the perspective of the single robot design and the one of interacting multi-robot systems (e.g., autonomous vehicles and mobility systems), the design methods have not kept up.  The standard answer to dealing with complexity is exploiting compositionality, but there are no well-established mathematical modeling and design tools that have the reach for compositional analysis and design at the level of a complex robotic system.

The goal of the third edition of this workshop is to integrate mathematical principles and practical tools for compositional robotics, with a focus on applied category theory as a meta-language to talk about compositionality.

Submission Guidelines

We welcome extended abstracts and articles which are already published/under review. All unpublished papers should be submitted as PDF, and should be created using standard RAS templates (LaTex, MS Word).

Extended abstracts should be no longer than 2 pages (references excluded), and papers which are published/under review have no page limitations.

Accepted submissions will be assigned a oral presentation.

List of Topics

The list of topic includes (but certainly is not limited to):

• Modular Robotics
• Applied Category Theory
• Computational Design
• Fabrication Methods
• Compositional Methods for Software and Electronic Design
• Compositional Motion Planning and Control
• Hardware and Software Co-Design
• Co-Design Methods

Organizing committee

• Gioele Zardini, Institute for Dyamic Systems and Control, ETH Zürich
• Andrea Censi, Institute for Dyamic Systems and Control, ETH Zürich
• Jonathan Lorand, Institute for Dyamic Systems and Control, ETH Zürich
• Emilio Frazzoli, Institute for Dyamic Systems and Control, ETH Zürich
• Brendan Fong, Topos Institute
• Angeline Aguinaldo, University of Maryland
• Paolo Perrone, Department of Computer Science, University of Oxford
• John Baez, Mathematics Department, University of California, Riverside
• Dylan Shell, Department of Computer Science and Engineering, Texas A&M University
• Alexandra Nilles, Collective Embodied Intelligence Lab, Cornell University
• Andrew Spielberg, CSAIL, Massachusetts Institute of Technology
• Anne Collin, Motional
• Matthew Kvalheim, University of Pennsylvania
• Paul Gustafson, University of Pennsylvania
• Daniel Koditschek, Kod Lab, University of Pennsylvania
• Aaron Ames, AMBER Lab, California Institute of Technology

Speakers

The tentative schedule can be found here.

Contact

All questions should be emailed to Gioele Zardini.