Survey of Machine Learning and Autonomous Systems

Catalog description

Rapid progress has been made in the development of autonomous systems. Terrestrial robotics, interplanetary systems, planetary robotics, uncrewed aerial systems, remote sensing platforms, and autonomous automobiles have all made great advances. These technologies have been enhanced by advances in artificial intelligence (AI). A non-programming perspective, this course will survey the current state?of?the?art perspective on artificial intelligence technologies used in autonomous systems. We start by presenting both ML-based and AI?based architectures that form the basis of perception, path planning, cognitive arbitration, and motion control.