Introduction to Autonomous Robots: Kinematics, Perception, Localization and Planning

This book introduces concepts in mobile, autonomous robotics to 3rd-4th year students in Computer Science or a related discipline. The book covers principles of robot motion, forward and inverse kinematics of robotic arms and simple wheeled platforms, perception, error propagation, localization and simultaneous localization and mapping. The cover picture shows a wind-up toy that is smart enough to not fall off a table just using intelligent mechanism design and illustrate the importance of the mechanism in designing intelligent, autonomous systems. This book is open source, open to contributions, and released under a creative common license.

• Introduction to Autonomous Mobile Robots (Intelligent Robotics and Autonomous Agents)
• Robot Programming: A Guide to Controlling Autonomous Robots
• Probabilistic Robotics (INTELLIGENT ROBOTICS AND AUTONOMOUS AGENTS)
• Deep Learning with Python
• Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
• Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents)
• Robotics, Vision and Control: Fundamental Algorithms In MATLAB, Second Edition (Springer Tracts in Advanced Robotics)
• Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
• Deep Learning (Adaptive Computation and Machine Learning)
• Artificial Intelligence: A Modern Approach