Intelligent Robots: Visual Perception and Machine Intelligence

Catalog description

This course will introduce how intelligent robots use sensors to solve environmental perception problems. It takes visual sensors as an example to explain sensor data access and storage, to model and to calibrate sensors, to extract image information by scientific models, and to use deep neural networks to process image data. Laboratory exercises are designed to illustrate concepts and acquaint programming and problem solving skills. Projects are designed to integrate the skills and to develop the abilities of solving real-world intelligent robot perception problems.