正版 智能机器人手眼脑的研究(英文版)(精)/智能制造与机器人理论

Part I Introduction
1 Background
References
2 Motivations
References
3 Structure of the Book
Part II The Hand of Robots-Intelligent Manipulation Theory and Application of Robots
4 The Development and Challenges of Robot Manipulation
References
5 The Concept of "Attractive Region in Environment (ARIE)" and Its Application in High-Precision Tasks with Low-Precision Systems
5.1 General Concept of "Attractive Region in Environment"
5.2 General Formulation of "Attractive Region in Environment"
5.3 Extension of Attractive Region in High Dimensional Space
5.4 Applications of "Attractive Region in Environment" in Industrial Manufacturing
5.5 Conclusions
References
6 The Compliance of Robotic Hands and Human-Inspired Motion Model of Upper-Limb with Fast Response and Learning Ability
6.1 The Combination of Compliance and Robotic Hands from Functionality to Mechanism
6.2 Forward Dynamics of the Upper Limb
6.3 Movement Control Method Based on the Patterns
6.4 Experiment Results
6.5 Conclusions
References
Part III The Eye of Robots-Intelligent Perception Theory and Application of Robots
7 The Development and Challenges of Robot Perception References
8 Learning an Intrinsic-Variable Preserving Manifold for Dynamic Visual Tracking
8.1 Intrinsic Variable Preserving Manifold Learning (IVPML)
8.2 Visual-Head-Tracking Algorithm with Complicated Backgrounds Using IVPML
8.3 Experiment Results
8.4 Conclusions
References
9 Explicit Nonlinear Mapping for Manifold Learning
with Neighborhood Preserving Polynomial Embedding
9.1 Explicit Nonlinear Manifold Learning Model
9.2 Neighborhood Preserving Polynomial Embedding (NPPE) Algorithm
9.3 Experiment Results
9.4 Conclusions
References
Part IV The Brain of Robots-Intelligent Cognition Theory and Application of Robots
10 The Development and Challenges of Robot Cognition
11 Biologically Inspired Visual Model with Memory and Association Mechanism
11.1 Biological Evidences for Memory and Association Mechanism
11.2 Visual Model with Memory and Association Mechanism
11.2.1 Familiarity Discrimination
11.3 Experiment Results
11.4 Conclusions
References
12 Biologically Inspired Visual Model with Preliminary Cognition and Active Attention Adjustment
12.1 Biological Evidences for Preliminary Cognition and Active Attention Adjustment
12.2 Visual Model with Preliminary Cognition and Active Attention Adjustment
12.3 Experiment Results
12.4 Conclusions
References
13 Biologically Inspired Visual Cognition Model with Unsupervised Episodic and Semantic Feature Learning
13.1 Biological Evidences for Human Visual Cognition
13.2 Visual Model with Unsupervised Episodic and Semantic Feature Learning
13.3 Experiment Results
13.4 Conclusions
References
Part V Conclusions and Future Research Directions
14 Conclusions

乔红，中国科学院自动化所研究员，博士生导师，国家杰出青年基金获得者；获2014年国家自然科学奖二等奖(第一完成人)，2012年北京市科学技术一等奖(基础研究类，排名第一)，2015年北京市科学技术二等奖(技术发明类，排名第一); 2013年当选全球IEEE RAS(机器人与自动化学会)管理委员会委员。 乔红研究员于2004年引进回国并创建中国科学院自动化所“机器人理论与应用”团队(规模50余人)，目前担任中国科学院自动化研究所“类脑智能研究中心”副主任(负责类脑神经机器人方向，是中心三个方向之一)，中国科学院大学计算机与控制学院“控制理论与控制工程”教研室主任，中国科学院自动化研究所-中国科学技术大学联合实验室副主任，中国科学院“脑科学与智能技术卓越中心”核心骨干(机器人方向唯一核心骨干)，九三学社中央科技委委员。

本书以统一的框架介绍了该领域的几个重要进展，并对机器人的手、眼、控制系统和大脑进行了详细的理论和应用研究，为智能机器人的进一步研究提供了一些方向。

This book reports the new results of intelligent robot with hand-eye-brain, from the interdisciplinary perspective of information science and neuroscience. It collects novel research ideas on attractive region in environment (ARIE), intrinsic variable preserving manifold learning (IVPML) and biologically inspired visual congnition, which are theoretically important but challenging to develop the intelligent robot. Furthermore, the book offers new thoughts on the possible future development of human-inspired robotics, with vivid illustrations. The book is useful for researchers, R&D engineers and graduate students working on intelligent robots.

本书以统一的框架介绍了该领域的几个重要进展，并对机器人的手、眼、控制系统和大脑进行了详细的理论和应用研究，为智能机器人的进一步研究提供了一些方向。