CORE_ROBOTICS

The Cognitive Optimization and Relational (CORE) Robotics laboratory develops advanced algorithmic techniques to enable robots to collaborate with human teammates. The lab's work is founded upon the vision for moving beyond thinking of robots as tools that must be manually controlled towards a paradigm in which robots can learn through interaction and experience how to be effective peers for human professionals in healthcare, manufacturing, and search & rescue. Algorithmic techniques include deep reinforcement learning, mathematical programming, and distributed control theory. Additionally, we conduct human subject experiments to understand how to design effective algorithms and to evaluate the contribution of our computational techniques.