Robot Intelligence An Advanced Knowledge Processing Approach /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Liu, Honghai (Επιμελητής έκδοσης), Gu, Dongbing (Επιμελητής έκδοσης), Howlett, Robert J. (Επιμελητής έκδοσης), Liu, Yonghuai (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2010.
• Σειρά: Advanced Information and Knowledge Processing,
• Θέματα: Computer science.; Artificial intelligence.; Robotics.; Automation.; Computer Science.; Artificial Intelligence (incl. Robotics).; Robotics and Automation.

 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. 

 Programming-by-Demonstration of Robot Motions -- Grasp Recognition by Fuzzy Modeling and Hidden Markov Models -- Distributed Adaptive Coordinated Control of Multi-Manipulator Systems Using Neural Networks -- A New Framework for View-Invariant Human Action Recognition -- Using Fuzzy Gaussian Inference and Genetic Programming to Classify 3D Human Motions -- Obstacle Detection Using Cross-Ratio and Disparity Velocity -- Learning and Vision-Based Obstacle Avoidance and Navigation -- A Fraction Distortion Model for Accurate Camera Calibration and Correction -- A Leader-Follower Flocking System Based on Estimated Flocking Center -- A Behavior Based Control System for Surveillance UAVs -- Hierarchical Composite Anti-Disturbance Control for Robotic Systems Using Robust Disturbance Observer -- Autonomous Navigation for Mobile Robots with Human-Robot Interaction -- Prediction-Based Perceptual System of a Partner Robot for Natural Communication.