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1. Structure of a Machine Brain

2. The Third Intelligence Layer—Cognitive Computing

3. Applications in Face Recognition Access Control Manufacturing

4. The Fourth Intelligence Layer-Intelligent Decisions Making

5. The Fifth Intelligence Layer—Automatized Execution

6. The First Intelligence Layer—Environments Sensing

7. The Second Intelligence Layer—Active Learning

8. Single-Image Dehazing

9. Shadow and Highlight Removal

10. Intrinsic-Image Deriving and Decomposition

11. Rain and Snow Removal

12. Applications and Future Work

13. Underwater Descattering from Light Field

14. Shadow Modeling and Detection

15. Spectral Power Distributions and Reflectance Calculations for Robot Vision

16. Introduction

17. Imaging Modeling and Camera Sensitivity Recovery

18. Kinematic Calibration for Modular Parallel Robots

19. Modular Parallel Robot Kinematics

20. Kinematic Calibration for Modular Serial Robots

21. Modular Serial Robot Dynamics

22. Optimization of Modular Serial Robot Configurations

23. Modular Serial Robot Kinematics

24. Modular Robot Representation

25. Module Designs

26. Introduction

27. Biologically Inspired Visual Model with Preliminary Cognition and Active Attention Adjustment

28. Biologically Inspired Visual Model with Memory and Association Mechanism

29. Explicit Nonlinear Mapping for Manifold Learning with Neighborhood Preserving Polynomial Embedding

30. Learning an Intrinsic-Variable Preserving Manifold for Dynamic Visual Tracking

31. Biologically Inspired Visual Cognition Model with Unsupervised Episodic and Semantic Feature Learning

32. The Compliance of Robotic Hands and Human-Inspired Motion Model of Upper-Limb with Fast Response and Learning Ability

33. The Concept of 'Attractive Region in Environment (ARIE)' and Its Application in High-Precision Tasks with Low-Precision Systems

34. Motivations

35. The Development and Challenges of Robot Perception

36. Interdisciplinary Evolution of the Machine Brain

37. Reconciled Interpretation of Vision, Touch and Minds

38. Pattern Analysis and Scene Understanding

39. Cognitive Computation and Systems

40. Data Mining in Environments Sensing

41. Introduction of Cognition Science

42. Dynamic Response Prediction and Control for Machining Process

43. Polymorphic Evolution Process Model for Time-Varying Machining Process

44. Clamping Perception for Residual Stress-Induced Deformation of Thin-Walled Parts

45. Machining Process Monitoring and the Data Processing Method

46. Learning and Optimization of Process Model

47. Introduction

48. Design Optimization of Parallel PnP Robots

49. Rigid Multibody Dynamics

50. Robot Elastodynamics

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