Controls, Robotics, and Intelligent System research covers a broad array of topics, including data acquisition, sensing, actuation, modeling of dynamic systems, planning and optimization, decision and estimation, adaptation and machine learning, motors, and microcontrollers. Research labs in this area develop robotics systems and applications of multisensory detection and estimation techniques.

Core Faculty Members:

• Eli Fromm
• Allon Guez
• Paul Kalata
• Moshe Kam

Research Laboratories:

• Data Fusion Laboratory
• Supervisory Control Laboratory