基本信息

书名：	人工智能机器人学导论(第2版)(英文版)/(美)ROBIN R. MURPHY
作者：	Robin
出版社：	电子工业出版社
出版日期：	2018-02-01
版次：
ISBN：	9787121372339
市场价：	139.0

目录
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 内容介绍
本书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。全书共分为五部分。*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，分别对应机器人行为、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-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。
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为便于读者学习，本书请专家写了导读。本书适合作为机器人工程、人工智能、自动化等专业本科生教材，以及人工智能和机器人相关方向硕士研究生教材。作者将知识体系结构进行了科学的组织，分五部分讨论框架、反应层、慎思层、交互层，以及设计与伦理。