Ebook: Robot Intelligence: An Advanced Knowledge Processing Approach
- Tags: Artificial Intelligence (incl. Robotics)
- Series: Advanced Information and Knowledge Processing
- Year: 2010
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
Robot Intelligence is an exciting interdisciplinary field including engineering, information technology, machine learning, biological science and psychology. Its dramatic growth in practical applications is driven by both real-world requirements and maturity of related disciplines such as intelligent algorithms. It is expected that perception, understanding and reasoning capabilities play a crucial role in robot-assisted tasks and enable robots to exhibit similar performance on executing various tasks in both constrained and unconstrained environments.
Robot Intelligence is a rare collection of chapters reflecting recent robotics developments from the advanced knowledge processing perspective. It also provides a comprehensive introduction and methodology to selected robotics topics including human robot interaction, human motion analysis, robot vision and advanced control. The robot intelligence methods presented enable readers to address many complex problems involving a wide range of robot sensors for the perception and understanding of the environment and the reasoning of the subsequent actions. The book’s comprehensive coverage will prove invaluable to senior undergraduates, PhD students, researchers and practitioners.
Robot Intelligence is an exciting interdisciplinary field including engineering, information technology, machine learning, biological science and psychology. Its dramatic growth in practical applications is driven by both real-world requirements and maturity of related disciplines such as intelligent algorithms. It is expected that perception, understanding and reasoning capabilities play a crucial role in robot-assisted tasks and enable robots to exhibit similar performance on executing various tasks in both constrained and unconstrained environments.
Robot Intelligence is a rare collection of chapters reflecting recent robotics developments from the advanced knowledge processing perspective. It also provides a comprehensive introduction and methodology to selected robotics topics including human robot interaction, human motion analysis, robot vision and advanced control. The robot intelligence methods presented enable readers to address many complex problems involving a wide range of robot sensors for the perception and understanding of the environment and the reasoning of the subsequent actions. The book’s comprehensive coverage will prove invaluable to senior undergraduates, PhD students, researchers and practitioners.
Robot Intelligence is an exciting interdisciplinary field including engineering, information technology, machine learning, biological science and psychology. Its dramatic growth in practical applications is driven by both real-world requirements and maturity of related disciplines such as intelligent algorithms. It is expected that perception, understanding and reasoning capabilities play a crucial role in robot-assisted tasks and enable robots to exhibit similar performance on executing various tasks in both constrained and unconstrained environments.
Robot Intelligence is a rare collection of chapters reflecting recent robotics developments from the advanced knowledge processing perspective. It also provides a comprehensive introduction and methodology to selected robotics topics including human robot interaction, human motion analysis, robot vision and advanced control. The robot intelligence methods presented enable readers to address many complex problems involving a wide range of robot sensors for the perception and understanding of the environment and the reasoning of the subsequent actions. The book’s comprehensive coverage will prove invaluable to senior undergraduates, PhD students, researchers and practitioners.
Content:
Front Matter....Pages I-XIII
Programming-by-Demonstration of Robot Motions....Pages 1-23
Grasp Recognition by Fuzzy Modeling and Hidden Markov Models....Pages 25-47
Distributed Adaptive Coordinated Control of Multi-Manipulator Systems Using Neural Networks....Pages 49-69
A New Framework for View-Invariant Human Action Recognition....Pages 71-93
Using Fuzzy Gaussian Inference and Genetic Programming to Classify 3D Human Motions....Pages 95-116
Obstacle Detection Using Cross-Ratio and Disparity Velocity....Pages 117-141
Learning and Vision-Based Obstacle Avoidance and Navigation....Pages 143-167
A Fraction Distortion Model for Accurate Camera Calibration and Correction....Pages 169-190
A Leader-Follower Flocking System Based on Estimated Flocking Center....Pages 191-208
A Behavior Based Control System for Surveillance UAVs....Pages 209-228
Hierarchical Composite Anti-Disturbance Control for Robotic Systems Using Robust Disturbance Observer....Pages 229-243
Autonomous Navigation for Mobile Robots with Human-Robot Interaction....Pages 245-268
Prediction-Based Perceptual System of a Partner Robot for Natural Communication....Pages 269-290
Back Matter....Pages 291-293
Robot Intelligence is an exciting interdisciplinary field including engineering, information technology, machine learning, biological science and psychology. Its dramatic growth in practical applications is driven by both real-world requirements and maturity of related disciplines such as intelligent algorithms. It is expected that perception, understanding and reasoning capabilities play a crucial role in robot-assisted tasks and enable robots to exhibit similar performance on executing various tasks in both constrained and unconstrained environments.
Robot Intelligence is a rare collection of chapters reflecting recent robotics developments from the advanced knowledge processing perspective. It also provides a comprehensive introduction and methodology to selected robotics topics including human robot interaction, human motion analysis, robot vision and advanced control. The robot intelligence methods presented enable readers to address many complex problems involving a wide range of robot sensors for the perception and understanding of the environment and the reasoning of the subsequent actions. The book’s comprehensive coverage will prove invaluable to senior undergraduates, PhD students, researchers and practitioners.
Content:
Front Matter....Pages I-XIII
Programming-by-Demonstration of Robot Motions....Pages 1-23
Grasp Recognition by Fuzzy Modeling and Hidden Markov Models....Pages 25-47
Distributed Adaptive Coordinated Control of Multi-Manipulator Systems Using Neural Networks....Pages 49-69
A New Framework for View-Invariant Human Action Recognition....Pages 71-93
Using Fuzzy Gaussian Inference and Genetic Programming to Classify 3D Human Motions....Pages 95-116
Obstacle Detection Using Cross-Ratio and Disparity Velocity....Pages 117-141
Learning and Vision-Based Obstacle Avoidance and Navigation....Pages 143-167
A Fraction Distortion Model for Accurate Camera Calibration and Correction....Pages 169-190
A Leader-Follower Flocking System Based on Estimated Flocking Center....Pages 191-208
A Behavior Based Control System for Surveillance UAVs....Pages 209-228
Hierarchical Composite Anti-Disturbance Control for Robotic Systems Using Robust Disturbance Observer....Pages 229-243
Autonomous Navigation for Mobile Robots with Human-Robot Interaction....Pages 245-268
Prediction-Based Perceptual System of a Partner Robot for Natural Communication....Pages 269-290
Back Matter....Pages 291-293
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