EE 290-005 | Integrated Perception, Learning, and Control
Welcome to EE 290-005!
This advanced-topic course studies the roles of perception, learning, and control in the context of designing autonomous robotic systems under various levels of modeling certainty/uncertainty for either the agents or the environment. We will provide an overview of fundamental tools and methods from control, learning, and vision and try to delineate how these methods should be integrated as a “closed loop” in several representative robotic systems/scenarios for navigation, locomotion, manipulation, and human/machine interaction. The goal of the course is to survey cutting-edge practice in robotics and identify new challenges and opportunities of interdisciplinary research for next-generation intelligent robots.