罗宾·R.墨菲（Robin R.Murphy），分别于1980年、1989年和1992年在美国佐治亚理工学院获得机械工程学学士学位、计算机科学硕士和博士学位，现任得克萨斯农工大学计算机科学与工程系的Raytheon荣誉教授，机器人辅助搜索与救援研究中心主任。IEEE会士，曾任IEEE机器人和自动化执行委员会执委。研究方向为人工智能、人-机器人交互，以及异构多机器人系统。已发表100多部/篇出版物，是国际范围内救援机器人和人-机器人交互领域的开创者之一。

Ⅰ Framework for Thinking About AI and Robotics
1 What Are Intelligent Robots?
1.1 Overview
1.2 Definition: What Is an Intelligent Robot?
1.3 What Are the Components of a Robot?
1.4 Three Modalities: What Are the Kinds of Robots?
1.5 Motivation: Why Robots?
1.6 Seven Areas of AI: Why Intelligence?
1.7 Summary
1.8 Exercises
1.9 End Notes
2 A Brief History of AI Robotics
2.1 Overview
2.2 Robots as Tools, Agents, or Joint Cognitive Systems
2.3 World War II and the Nuclear Industry
2.4 Industrial Manipulators
2.5 Mobile Robots
2.6 Drones
2.7 The Move to Joint Cognitive Systems
2.8 Summary
2.9 Exercises
2.10 End Notes
3 Automation and Autonomy
3.1 Overview
3.2 The Four Sliders of Autonomous Capabilities
3.2.1 Plans: Generation versus Execution
3.2.2 Actions: Deterministic versus Non-deterministic
3.2.3 Models: Open- versus Closed-World
3.2.4 Knowledge Representation: Symbols versus Signals
3.3 Bounded Rationality
3.4 Impact of Automation and Autonomy
3.5 Impact on Programming Style
3.6 Impact on Hardware Design
3.7 Impact on Types of Functional Failures
3.7.1 Functional Failures
3.7.2 Impact on Types of Human Error
3.8 Trade-Spaces in Adding Autonomous Capabilities
3.9 Summary
3.10 Exercises
3.11 End Notes
4 Software Organization of Autonomy
4.1 Overview
4.2 The Three Types of Software Architectures
4.2.1 Types of Architectures
4.2.2 Architectures Reinforce Good Software Engineering Principles
4.3 Canonical AI Robotics Operational Architecture
4.3.1 Attributes for Describing Layers
4.3.2 The Reactive Layer
4.3.3 The Deliberative Layer
4.3.4 The Interactive Layer
4.3.5 Canonical Operational Architecture Diagram
4.4 Other Operational Architectures
4.4.1 Levels of Automation
4.4.2 Autonomous Control Levels (ACL)
4.4.3 Levels of Initiative
4.5 Five Subsystems in Systems Architectures
4.6 Three Systems Architecture Paradigms
4.6.1 Trait 1: Interaction Between Primitives
4.6.2 Trait 2: Sensing Route
4.6.3 Hierarchical Systems Architecture Paradigm
4.6.4 Reactive Systems Paradigm
4.6.5 Hybrid Deliberative/Reactive Systems Paradigm
4.7 Execution Approval and Task Execution
4.8 Summary
4.9 Exercises
4.10 End Notes
5 Telesystems
5.1 Overview
5.2 Taskable Agency versus Remote Presence
5.3 The Seven Components of a Telesystem
5.4 Human Supervisory Control
5.4.1 Types of Supervisory Control
5.4.2 Human Supervisory Control for Telesystems
5.4.3 Manual Control
5.4.4 Traded Control
5.4.5 Shared Control
5.4.6 Guarded Motion
5.5 Human Factors
5.5.1 Cognitive Fatigue
5.5.2 Latency
5.5.3 Human: Robot Ratio
5.5.4 Human Out-of-the-Loop Control Problem
5.6 Guidelines for Determining if a Telesystem Is Suitable for an Application
5.6.1 Examples of Telesystems
5.7 Summary
5.8 Exercises
5.9 End Notes
Ⅱ Reactive Functionality
6 Behaviors
6.1 Overview
……
7 Perception and Behaviors
8 Behavioral Coordination
9 Locomotion
10 Sensors and Sensing
11 Range Sensing
Ⅲ Deliberative Functionality
12 Deliberation
13 Navigation
14 Metric Path Planning and Motion Planning
15 Localization, Mapping, and Exploration
16 Learning
Ⅳ Interactive Functionality
17 MultiRobot Systems (MRS)
18 Human-Robot Interaction
Ⅴ Design and the Ethics of Building Intelligent Robots
19 Designing and Evaluating Autonomous Systems
20 Ethics
Bibliography
Index

本书首先介绍人工智能机器人的定义、历史和体系结构，然后全面系统地阐述人工智能机器人在传感、感知、运动、规划、导航、学习、交互等方面的基础理论和关键技术。全书分为五部分。第一部分共5章，定义了什么是智能机器人，介绍了人工智能机器人简史，并讨论了自动化与自治、软件体系结构和遥操作；第二部分共6章，针对机器人的反应（行为）层智能展开讨论，覆盖了机器人行为、感知与行为、行为协调、运动学、传感器与感知，以及距离感知等方面的内容；第三部分共5章，详细讨论机器人的慎思层智能，包括慎思层的内涵、导航、路径和动作规划、定位、建图与探索，以及机器学习等内容；第四部分共2章，讨论机器人的交互层智能，包括多机器人系统和人一机器人交互；第五部分共2章，分别介绍自治系统的设计与评估方法，以及与机器人相关的伦理问题。
本书可作为机器人工程、人工智能、电子、自动化及计算机等专业高年级本科生和研究生的教材或参考书，也可供从事智能机器人方面研究的教师和研究人员，以及参加各类机器人学科竞赛的指导教师和学生学习参考。