Autonomous Robotics and Deep Learning

✍ Scribed by Vishnu Nath, Stephen E. Levinson (auth.)

• Publisher: Springer International Publishing
• Year: 2014
• Tongue: English
• Leaves: 73
• Series: SpringerBriefs in Computer Science
• Edition: 1
• Category: Library

✦ Synopsis

This Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to develop “true consciousness.” It illustrates the critical first step towards reaching “deep learning,” long considered the holy grail for machine learning scientists worldwide. Using the example of the iCub, a humanoid robot which learns to solve 3D mazes, the book explores the challenges to create a robot that can perceive its own surroundings. Rather than relying solely on human programming, the robot uses physical touch to develop a neural map of its environment and learns to change the environment for its own benefit. These techniques allow the iCub to accurately solve any maze, if a solution exists, within a few iterations. With clear analysis of the iCub experiments and its results, this Springer Brief is ideal for advanced level students, researchers and professionals focused on computer vision, AI and machine learning.

✦ Table of Contents

Front Matter....Pages i-viii
Introduction....Pages 1-3
Overview of Probability and Statistics....Pages 5-16
Primer on Matrices and Determinants....Pages 17-24
Robot Kinematics....Pages 25-30
Computer Vision....Pages 31-38
Machine Learning....Pages 39-45
Experimental Results....Pages 47-64
Future Direction....Pages 65-66

✦ Subjects

Artificial Intelligence (incl. Robotics); Image Processing and Computer Vision; User Interfaces and Human Computer Interaction; Computer Imaging, Vision, Pattern Recognition and Graphics