Control For Autonomous Robots
This course introduces the hardware, software and control technology used in autonomous ground vehicles, commonly called "self-driving cars." The weekly laboratory sessions focus on development of a small- scale autonomous car, incrementally enhancing the sensors, software, and control algorithms to culminate in a demonstration in a realistic outdoor operating environment. Students will learn basic physics and modeling; controls design and analysis in Matlab and Simulink; software implementation in C and Python; sensor systems and filtering methods for IMUs, GPS, and computer vision systems; and path planning from fixed map data. Prerequisite: If course requirement not met, permission of instructor required. Fall Also Offered As: MEAM 4210 Prerequisites: Students must take ESE 2240 OR MEAM 2110 before taking ESE 4210. 1.5 Course Unit
Sources
- Course catalogue โ2026โ2027