The Control, Optimization, and Robotics Engineering (CORE) Lab develops fundamentally new approaches to intelligent decision-making.
Working at the intersection of control
theory, data science, and network science,
our work ranges from
the theoretical aspects of decentralized decision-making to
implementation, testing, and validation on swarms of robots. This
research takes a variety of forms, and current research projects can
be found under the Research tab above.