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 m ethods for the robot.
4. to run those algorithms via ros and the simulator.