Data-driven Design of Autonomous Systems

Introduction

This book is a consolidation of foundations and algorithms for data-driven autonomous system design. The material is distilled from key reference texts in Machine Learning and Robotics.

The material presented is NOT original.

Outline

The content is organized into three parts: Core Math, Applied Theory and Practical Challenges.

I. Mathematics for Autonomous Systems

The foundational theory and reasoning that enables modeling, analyzing and designing autonomous systems.

II. Algorithms and Applications

The theory is only useful when it can be applied to existing problems.

III. Computer Architecture and Bare-Metal Programming

An introductory approach to advanced embedded system development.