Robotics and Perception is a research area focused on the design, development, and application of robots that can understand and interact with the physical world. It involves creating systems that enable robots to perceive their surroundings using sensors (such as cameras, lidar, or sonar) and process that sensory data to make intelligent decisions.
Key challenges in this field include object recognition, environment mapping, motion planning, and real-time navigation. Perception allows robots to interpret and understand complex environments, while robotics provides the mechanical and computational frameworks for physical action. Together, they enable autonomous systems, such as drones, self-driving cars, and humanoid robots, to operate safely and effectively in dynamic, real-world settings.
Faculty
Kostas Daniilidis
Eric Eaton
Dinesh Jayaraman
Dan Koditschek
Vijay Kumar
George Pappas
Michael Posa
Cynthia Sung
