Издательство InTech, 2010, -624 pp.
The purpose of robot vision is to enable robots to perceive the exteal world in order to perform a large range of tasks such as navigation, visual servoing for object tracking and manipulation, object recognition and categorization, surveillance, and higher-level decision making. Among different perceptual modalities, vision is arguably the most important one. It is therefore an essential building block of a cognitive robot. Most of the initial research in robot vision has been industrially oriented and while this research is still ongoing, current works are more focused on enabling the robots to autonomously operate in natural environments that cannot be fully modeled and controlled. A long-term goal is to open new applications to robotics such as robotic home assistants, which can only come into existence if the robots are equipped with significant cognitive capabilities. In pursuit of this goal, current research in robot vision benefits from studies in human vision, which is still by far the most powerful existing vision system. It also emphasizes the role of active vision, which in case of humanoid robots does not limit itself to active eyes only any more, but rather employs the whole body of the humanoid robot to support visual perception. By combining these paradigms with mode advances in computer vision, especially with many of the recently developed statistical approaches, powerful new robot vision systems can be built.
This book presents a snapshot of the wide variety of work in robot vision that is currently going on in different parts of the world.
Design and fabrication of soft zoom lens applied in robot vision
Methods for Reliable Robot Vision with a Dioptric System
An Approach for Optimal Design of Robot Vision Systems
Visual Motion Analysis for 3D Robot Navigation in Dynamic Environments
A Visual Navigation Strategy Based on Inverse Perspective Transformation
Vision-based Navigation Using an Associative Memory
Vision Based Robotic Navigation: Application to Orthopedic Surgery
Navigation and Control of Mobile Robot Using Sensor Fusion
Visual Navigation for Mobile Robots
Interactive object leaing and recognition with multiclass support vector machines
Recognizing Human Gait Types
Environment Recognition System for Biped Robot Walking Using Vision Based Sensor Fusion
Non Contact 2D and 3D Shape Recognition by Vision System for Robotic Prehension
Image Stabilization in Active Robot Vision
Real-time Stereo Vision Applications
Robot vision using 3D TOF systems
Calibration of Non-SVP Hyperbolic Catadioptric Robotic Vision Systems
Computational Modeling, Visualization, and Control of 2-D and 3-D Grasping under Rolling Contacts
Towards Real Time Data Reduction and Feature Abstraction for Robotics Vision
LSCIC Pre coder for Image and Video Compression
The robotic visual information processing system based on wavelet transformation and photoelectric hybrid
Direct visual servoing of planar manipulators using moments of planar targets
Industrial robot manipulator guarding using artificial vision
Remote Robot Vision Control of a Flexible Manufacturing Cell
Network-based Vision Guidance of Robot for Remote Quality Control
Robot Vision in Industrial Assembly and Quality Control Processes
Testing Stereoscopic Vision in Robot Teleguide
Embedded System for Biometric Identification
Multi-Task Active-Vision in Robotics
An Approach to Perception Enhancement in Robotized Surgery using Computer Vision
The purpose of robot vision is to enable robots to perceive the exteal world in order to perform a large range of tasks such as navigation, visual servoing for object tracking and manipulation, object recognition and categorization, surveillance, and higher-level decision making. Among different perceptual modalities, vision is arguably the most important one. It is therefore an essential building block of a cognitive robot. Most of the initial research in robot vision has been industrially oriented and while this research is still ongoing, current works are more focused on enabling the robots to autonomously operate in natural environments that cannot be fully modeled and controlled. A long-term goal is to open new applications to robotics such as robotic home assistants, which can only come into existence if the robots are equipped with significant cognitive capabilities. In pursuit of this goal, current research in robot vision benefits from studies in human vision, which is still by far the most powerful existing vision system. It also emphasizes the role of active vision, which in case of humanoid robots does not limit itself to active eyes only any more, but rather employs the whole body of the humanoid robot to support visual perception. By combining these paradigms with mode advances in computer vision, especially with many of the recently developed statistical approaches, powerful new robot vision systems can be built.
This book presents a snapshot of the wide variety of work in robot vision that is currently going on in different parts of the world.
Design and fabrication of soft zoom lens applied in robot vision
Methods for Reliable Robot Vision with a Dioptric System
An Approach for Optimal Design of Robot Vision Systems
Visual Motion Analysis for 3D Robot Navigation in Dynamic Environments
A Visual Navigation Strategy Based on Inverse Perspective Transformation
Vision-based Navigation Using an Associative Memory
Vision Based Robotic Navigation: Application to Orthopedic Surgery
Navigation and Control of Mobile Robot Using Sensor Fusion
Visual Navigation for Mobile Robots
Interactive object leaing and recognition with multiclass support vector machines
Recognizing Human Gait Types
Environment Recognition System for Biped Robot Walking Using Vision Based Sensor Fusion
Non Contact 2D and 3D Shape Recognition by Vision System for Robotic Prehension
Image Stabilization in Active Robot Vision
Real-time Stereo Vision Applications
Robot vision using 3D TOF systems
Calibration of Non-SVP Hyperbolic Catadioptric Robotic Vision Systems
Computational Modeling, Visualization, and Control of 2-D and 3-D Grasping under Rolling Contacts
Towards Real Time Data Reduction and Feature Abstraction for Robotics Vision
LSCIC Pre coder for Image and Video Compression
The robotic visual information processing system based on wavelet transformation and photoelectric hybrid
Direct visual servoing of planar manipulators using moments of planar targets
Industrial robot manipulator guarding using artificial vision
Remote Robot Vision Control of a Flexible Manufacturing Cell
Network-based Vision Guidance of Robot for Remote Quality Control
Robot Vision in Industrial Assembly and Quality Control Processes
Testing Stereoscopic Vision in Robot Teleguide
Embedded System for Biometric Identification
Multi-Task Active-Vision in Robotics
An Approach to Perception Enhancement in Robotized Surgery using Computer Vision