Cyberphysical systems

Cyberphysical systems (CPS) are engineered systems that link sensing, computation, and control to the physical world. As more devices are embedded with sensors that communicate with smartphones and servers, we increase the capacity to sense our surroundings and control how technology affects our lives. If orchestrated correctly, the economic and societal potential of CPS will transform broad domains such as transportation, critical infrastructure monitoring, healthcare, defense systems, manufacturing, smart buildings, and citywide energy optimization.

Designing cyberphysical systems requires research in multiple areas in which the college excels—embedded systems, control theory, sensors, perception, computer networks, and machine learning.

Learn more about our research by watching videos from our cyberphysical systems playlist.

Sep 30

Artificial Intelligence

Playing nice: self-driving and human-driven cars sharing the road

Akin to when Model Ts traveled alongside horses and buggies, autonomous vehicles and human-driven vehicles will someday share the road. How to best manage the rise of AVs is the topic of a new Carnegie Mellon policy brief.

Jul 6

Artificial Intelligence

CMU launches initiative to transform nanosatellite capabilities

Researchers at CMU’s College of Engineering are working to develop computationally capable constellations of nanosatellites, equipped with machine learning techniques that extract valuable insights from the data while still in orbit.

Researchers in CEE have created a new model that can help decrease energy consumption from buildings and provide for a more efficient grid.

Decarbonizing the grid with flexible buildings

Feb 24

Artificial Intelligence

Bosch takes next steps

Christopher Martin, CMU alumnus and director of engineering, research, and development for the Bosch Research and Technology Center in Pittsburgh, is named president of the Carnegie Bosch Institute.

Explore Other Research Topics

Centers & Institutes

Mobility21

Mobility21 is a National University Transportation Center that focuses on safely and efficiently improving the mobility of people and goods by investigating and deploying novel technologies, incentives, policies, and training programs. Using Pittsburgh as a test bed, the center explores smart city technologies, connected and autonomous vehicles, and data modeling for traffic control.

College of Engineering research centers and institutes