News and Updates!
[May 2021] Keynote at CHI2021 Workshop on Explainable and Trustworthy Physical Systems
Presented our work on human-in-the-loop validation and explaining autonomous vehicle behavior in critical scenarios.
Dr. Shawna Thomas summarized our discussion on robotics education in “Best Practices in Robotics Education: Perspectives from an IEEE RAS Women in Engineering Panel.”
Presented our recent work in designing robust systems, by identifying failures in simulation with adaptive stress testing and online via anomaly detection.
Katie received a $1M grant from USDA/NIFA to improve the autonomy of field robots, improve interaction and adoption, and develop software tools to make programming fleets of agbots easier.
The IEEE Women in Engineering – Robotics and Automation Society (WIE-RAS) hosted an online panel on best practices for teaching robotics.
[October 2020] Keynote on Autonomy at RV2020
Presented our work on robust decision-making and control for autonomous vehicles, adaptive stress testing, and anomaly detection for field robots.
The Center for Adaptive, Resilient Cyber-Physical Manufacturing Networks (AR-CyMaN) will create tools and technology to help manufacturers more quickly meet new consumer demands. CyMaN is led by Katie Driggs-Campbell and Placid Ferreira at UIUC.
We present a framework that will enable engineers, users, and decision makers to systematically evaluate the autonomy of real-world robotics systems and decide how they can best benefit from this rapidly improving technology. This effort is in conjunction with the Center for Digital Agriculture.
[June 2020] Collaboration with Hexagon | AutonomouStuff brings big changes to the classroom and research!
The AutonomouStuff Polaris Gem e2 platform has impacted teaching, lead to new proposals, and publications.
Foxconn Interconnect Technology (FIT) partners with Illinois on a new $100 million Center for Networked Intelligent Components and Environments (C-NICE). The center serves as a hub for the smart, reconfigurable technology that will drive the manufacturing plants of the future.