Laboratory for Interactive Optimization and Learning




Atoms and Bits --- Merging the physical with the digital

The next revolution will be the seamless integration of machines and the digital world: the creation of fully-integrated, high-performance cyber-physical systems. This fusion will heavily rely on inference from observational data and automated decision making based on derived information and intelligence.


Cyber-Physical Systems: Fusion of

Sensors, Computers, and Machines

The three I's: Information, Inference, and Interaction.

Cyber-physical systems arise when machines, devices, or other physical objects are augmented with digital technology for sensing the environment, automated decision making, and connectivity: the convergence of information, inference, and interaction.

A prime example of a cyber-physical system are autonomous vehicles. The vehicle collects real-time sensor information from a plethora of mounted sensors, this data is turned into useful information, and used in the vehicle's decision making such a trajectory decisions and routing.

The Laboratory for Interactive Optimization and Learning performs research at the intersection of optimization and machine learning in order to devise improved algorithms to be used and deployed in the context of real-world cyber-physical systems. The applications of interest span various areas, including logistics and supply chain management, manufacturing, energy, transportation, and medical and healthcare systems.


1. D. Lee, S. Pokutta. Toward a Science of Autonomy for Physical Systems: Transportation, CCC-led White Papers on the Science of Autonomy [pdf]