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

2. Biologically Inspired Visual Model with Memory and Association Mechanism

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

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

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

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

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

8. Motivations

9. The Development and Challenges of Robot Perception

11. Conclusions

12. Background

13. Structure of the Book

14. The Development and Challenges of Robot Manipulation

16. The Development and Challenges of Robot Cognition

32. A PSO-Based Integer Programming Solution to Impulsive-Correction Projectile Systems

33. Structure of a Machine Brain

34. The Third Intelligence Layer—Cognitive Computing

35. Applications in Face Recognition Access Control Manufacturing

36. The Fourth Intelligence Layer-Intelligent Decisions Making

37. The Fifth Intelligence Layer—Automatized Execution

38. The First Intelligence Layer—Environments Sensing

39. The Second Intelligence Layer—Active Learning

40. Single-Image Dehazing

41. Shadow and Highlight Removal

42. Intrinsic-Image Deriving and Decomposition

43. Rain and Snow Removal

44. Applications and Future Work

45. Underwater Descattering from Light Field

46. Shadow Modeling and Detection

47. Spectral Power Distributions and Reflectance Calculations for Robot Vision

48. Introduction

49. Imaging Modeling and Camera Sensitivity Recovery

50. Kinematic Calibration for Modular Parallel Robots

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