The basic principle of robotics and AI – What is AI? – Artificial Intelligence and advanced robotics techniques – Introducing the robot and our development environment – Software Components – Robot control systems and a decision-making framework – Setting up your robot: What is a robot? – Subsumption Architecture – Software Setup – Hardware

The Image Recognition Process: The Image Recognition training and development Process – Image processing – Convolution – Artificial neurons - The Convolution neural network process – Teaching a robot to listen: Robot Speech recognition

Avoiding the stairs: What is SLAM? – Alternatives for navigation - Neural networks – Processing the image – Training the neural network for navigation - Convolution neural network robot control implementation – Putting Things Away: Decision Trees – Entropy – One hot encoding – Grid Searching and A* - The A* Algorithm – D* - GPS path finding

The Turing test – The art and science of simulation – An emotion state machine – Creating a model of human behavior – Integrating artificial personality into our robot – The robot emotion engine – The human emotional model – Carreers in robotics

A Systems engineering based approach to robotics – Use cases – The Problem – Part1 - Who - the robot – What – Pick up toys and put them in the toy box - The Problem – Part2 – Who – the robot, the user – What – receive commands and verbally interact – When – as requested by the robot controller - Storyboards