Basic Information
This Course Will Be Given in a Seminar Format. Students Will Be Exposed to Recent Work On Autonomous Robotic Systems, With An Emphasis On Algorithmic Aspects in Control, Planning, and Estimation. Theoretical Topics Would Be Considered As Well As Practical Considerations. On The Side of Theory, We Shall Review, For Instance, Learning-based Approaches For Planning and Control, Distributed Computation Among Robots, Markovian Reasoning, and Robotic Networks. On The Practical Side, We Will Consider, E.g., Coordination Between Multiple Robots, Autonomous Driving, Search and Rescue, Robots In Space and Underground, and Smart Mobility. The Student Presentations Would Be Based On Survey Papers From The Annual Review of Control, Robotics, and Autonomous Systems and Central Papers in The Studied Areas. Learning Outcomes# at The End of The Course The Students Will Be Able To# 1. Familiarity With Research Areas, Methods, and Tools In Autonomous Systems, With Emphasis On Algorithmic Foundations Of Control, Planning, and Estimation. 2. Develop Skills in Evaluating and Critiquing Research Papers In Robotics and Control. 3. Develop Presentation Skills and Apply The Assertion-evidence Method For Presentation Development.
Faculty: Electrical and Computer Engineering
|Graduate Studies
Pre-required courses
46192 - Control Systems 2 or 46200 - Image Processing and Analysis or 46212 - Introduction to Robotics or 86761 - Vision-aided Navigation or 86762 - Autonomous Navigation and Perception or 97244 - Cognitive Robotics or 236006 - Advanced Topics in Ai and Robotics or 236901 - Algorithmic Robot Motion Planning or 236927 - Introduction to Robotics