ICRA2021CRMT: ICRA 2021 Workshop on Compositional Robotics: Mathematics and Tools Virtual May 30-June 4, 2021

ICRA 2021 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 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. All papers should be submitted as PDF, and should be created using standard RAS templates (LaTex, MS Word).

Submission should be no longer than 2 pages (references excluded).

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

• Andrea Censi, Institute for Dyamic Systems and Control, ETH Zürich
• Gioele Zardini, Institute for Dyamic Systems and Control, ETH Zürich
• Jonathan Lorand, Institute for Dyamic Systems and Control, ETH Zürich
• David Spivak, Topos Institute
• Brendan Fong, Topos Institute
• Nina Otter, Mathematics Department, University of California, Los Angeles
• 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
• Jason O'Kane, Department of Computer Science and Engineering, University of South Carolina
• Alexandra Nilles, Collective Embodied Intelligence Lab, Cornell University
• Andrew Spielberg, CSAIL, Massachusetts Institute of Technology
• Emilio Frazzoli, Institute for Dyamic Systems and Control, ETH Zürich

Keynote Speakers

The tentative schedule can be found here.

• Prof. Aaron Ames, AMBER Lab, California Institute of Technology
• Prof. Daniel Koditschek, Kod Lab, University of Pennsylvania

Contact

All questions should be emailed to Gioele Zardini.