General info

We invite everyone to participate and submit to the workshop of "Certified Data-driven Control for Uncertain Robotic Systems," affiliated with Robotics: Science and Systems (RSS) 2o23 conference.  Our goal in this workshop is to bring together researchers interested in the broad area of safe and verifiable autonomy, which includes experts from the robotics, controls, machine learning, cyber-physical systems, and logic communities, as well as researchers working in the emerging area of safe and trustworthy AI. We attempt to highlight recent advances in these communities, discuss open problems and main challenges, and lay out new research directions.

Main questions:

• How to quantify data uncertainty for the purposes of controls?
• How to build robust and reliable machine learning models?
• How can robots safely interact with humans?
• Role of logic and formal methods in machine learning and robotics?
• What are the available tools and benchmarks?
• How to define/agree on a set of standard benchmark problems?

Submission info

We invite submissions of poster abstracts on any topic within the theme of the workshop: safe and verifiable autonomy. We accept published and ongoing work. The authors of the accepted abstracts will present their posters at the workshop. In addition, the pdf file of the posters along with their abstracts will be made available for general public on the workshop website. 

Abstracts should be 1-2 page long in RSS paper format and are submitted through EasyChair.

Some of the abstracts may be invited to be extended into an article for publication in a special issue of a journal.

Important Dates

• Abstract submission: June 8, 2023
• Notification: June 10, 2023
• Camera Ready: July 3, 2023
• Workshop: July 10, 2023