Embedded Systems: Microcontrollers Case Studies

This lecture provides an overview of embedded microtechnical systems by presenting case studies related to mobile robotics, including sensor networks for weather stations, acceleration monitoring for laptop fall detection, complex embedded calculations for robots with navigation and vision, vision for automatic detection, and sound source detection for attentive robots. The lecture covers the resource requirements, real-time operating systems, microcontroller specifications, and implementation techniques such as sleep modes, A/D acquisition, and data processing. Various microcontrollers like Arduino UNO, STM32F401, and ARM Cortex-A9 are discussed in the context of different applications.