Research in Prof. D’Andrea’s group focuses on developing systems that integrate technological innovations, scientific principles, advanced mathematics, algorithms, and design in groundbreaking ways, particularly on advanced motion control. Key testbeds include CyberRunner and similar platforms for studying embodied and physical AI, as well as the Way of Water project—swarm robots designed both as performance art platforms and as research tools for developing unmanned surface vehicles. The group's primary research areas encompass multi-agent system design and control, adaptation, machine learning, and physically embodied intelligence. Read more
Group Onder
Prof. Onder's group pursues a model-based approach to the analyis, the optimization and the control of thermotronic and medical systems. Engine and vehicle propulsion systems are the focus of the majority of the research projects. Close contact with academic and industrial partners helps to remain focused on relevant topics, while well-established testing infrastructures serve to validate theoretical concepts and methodologies. Finally, the group benefits from the inclusion of highly-engaged students in the research process. Read more
Group Zeilinger
When safety is critical, control systems are traditionally designed to act in isolated, clearly specified environments, or to be conservative against the unknown. The goal of research in Prof. Zeilinger's group it to make high performance control available for safety-critical systems that act in varying, uncertain environments, and which are potentially large-scale, composed of numerous interconnected subsystems, and, most importantly, involve human interaction. Read more
Group Frazzoli
Prof. Frazzoli's group leverages modeling and control to design algorithms for smart transportation, vehicles and complex systems. Focusing on the formalization of mathematical understanding of robotic systems and their relationship to society, we investigate autonomous vehicles and mobility-on-demand that promise to revolutionize urban landscapes. The vision of autonomous driving builds upon developments in mathematical modeling, advanced motion control, distributed systems and machine learning. Bringing these innovations to life, we operate on a diverse set of autonomous vehicle testbeds. Read more
