The Supervisory Control Laboratory investigates large-scale dynamic systems and robotic plants, applying modeling and control techniques that were developed at the interface of control theory and computer science. Studied methods include discrete event systems and Petri Nets, and applications are studied in power systems, large-scale control systems, and manufacturing. Experiments are designed to investigate the implications of replacing centralized control schemes by distributed counterparts. Several multisensor robotic and process control platforms are used for concept demonstration and algorithm verification. These include hoping, wheeled, and crawling robots.

Contact Personnel:

• Moshe Kam 

Links:

• Supervisory Control Laboratory

Selected Research Posters:

• A Robotic Snake Designed for Efficient Rectilinear Motion