Deep Learning for Robot Perception and Cognition

Chapter 1: Introduction

Alexandros Iosifidis^a; Anastasios Tefas^b    aDepartment of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark^bDepartment of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece

Abstract

Almost everything that we hear about Artificial Intelligence (AI) today is thanks to Machine Learning (ML) and especially the ML algorithms that use neural networks as baseline inference models. This scientific field is called Deep Learning (DL). The core of deep learning is to design, train and deploy end-to-end trainable models that are able to use raw sensor information, build an internal representation of the environment, and perform inference based on this representation. Although this end-to-end ...