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The Course Introduces Basic Tools in Control, Planning, and Perception Essential to The Deployment of Modern Mobile Robots in The Real World (e.g., Self-driving Cars and Autonomous Drones). Control# Motion Equations of Mobile Robots, Open and Closed Loop Methods. Motion Planning# Geometric, Differential, and Optimal Methods. Perception# Sensors, Localization and Estimation. Learning Outcomes# The End of The Coure The Students Will Know# 1. to Derive The Motion Equations of a Given Mobile Robot and Design Fundamental Closed-loop Control Laws. 2. to Develop Motion Planning Methods For a Given Robotic System._ 3. to Develop Estimation and Localization Methods For The Robot. 4. to Run Those Algorithms Via Ros and The Simulator.

Faculty: Electrical and Computer Engineering
|Undergraduate Studies |Graduate Studies

Pre-required courses

(44202 - Random Signals and 44268 - Int. to Data Structur and Algorithms) or (44202 - Random Signals and 234247 - Algorithms 1) or (44202 - Random Signals and 94223 - מבני נתונים ואלגוריתמים) or (44268 - Int. to Data Structur and Algorithms and 86733 - Random Processes in Aerospace Systems) or (86733 - Random Processes in Aerospace Systems and 94223 - מבני נתונים ואלגוריתמים) or (86733 - Random Processes in Aerospace Systems and 234247 - Algorithms 1)

Course with no extra credit

236927 - Introduction to Robotics