| Description |
1 online resource (369 pages) |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Summary |
Neural Systems for Robotics represents the most up-to-date developments in the rapidly growing aplication area of neural networks, which is one of the hottest application areas for neural networks technology. The book not only contains a comprehensive study of neurocontrollers in complex Robotics systems, written by highly respected researchers in the field but outlines a novel approach to solving Robotics problems. The importance of neural networks in all aspects of Robot arm manipulators, neurocontrol, and Robotic systems is also given thorough and in-depth coverage. All researchers and students dealing with Robotics will find Neural Systems for Robotics of immense interest and assistance. Key Features * Focuses on the use of neural networks in robotics-one of the hottest application areas for neural networks technology * Represents the most up-to-date developments in this rapidly growing application area of neural networks * Contains a new and novel approach to solving Robotics problems. |
| Contents |
Front Cover; Neural Systems for Robotics; Copyright Page; Table of Contents; Contributors; Preface; Chapter 1. Neural Network Sonar as a Perceptual Modality for Robotics; 1.1 Use of Sonar in Robotics; 1.2 Echolocating Bats; 1.3 Neural Network Models of Biosonar; 1.4 A Neural Network That Recognizes Speed of Movement; 1.5 Conclusion; Chapter 2. Dynamic Balance of a Biped Walking Robot; 2.1 Introduction; 2.2 Background; 2.3 Methods; 2.4 Results; 2.5 Conclusion; Chapter 3. Visual Feedback in Motion; 3.1 Introduction; 3.2 The Trajectory of an Eye-in-Hand System |
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3.3 The Time-Independent Constraints3.4 The Time-Dependent Constraints; 3.5 Visual Measurement of the Stopping Criteria; 3.6 Controlling the Manipulator; 3.7 Results; 3.8 Discussion; 3.A Derivation of the Stopping Criteria; 3.B Proof of Theorem 3.2; 3.C Nonlinear Transform of a Noisy Signal; Chapter 4. Inverse Kinematics of Dextrous Manipulators; 4.1 Introduction; 4.2 Kinematics; 4.3 Solving the Inverse Kinematics Problem -- A Survey; 4.4 Exploiting Global Topological Knowledge to Solve the Inverse Kinematics Problem; 4.5 Future Research Directions; 4.6 Conclusion |
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Chapter 5. Stable Manipulator Trajectory Control Using Neural N etworks5.1 Introduction; 5.2 Neural Networks; 5.3 Methodology; 5.4 Neural Network Offline Learning; 5.5 Control Structure and Neural Network Online Learning Algorithm -- Method 1; 5.6 Control Structure and Neural Network Online Learning Algorithm-Method 2; 5.7 Discussions of Online and Offline Learning; 5.8 Applications in a PUMA Robot; 5.9 Conclusion; 5.A Proof of Theorem 5.4; 5.B Proof of Theorem 5.5; 5.C Proof of Theorem 5.6; 5.D Proof of Theorem 5.7; Chapter 6. The Neural Dynamics Approach to Sensory-Motor Control |
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6.1 Introduction6.2 Neural Models of Biological Motor Control; 6.3 Unsupervised Control of a Mobile Robot; 6.4 The DIVA Model of Speech Production; 6.5 Conclusion; Chapter 7. Operant Conditioning in Robots; 7.1 Introduction; 7.2 Mobile Robots, AI, and Conditioning; 7.3 Neural Models of Conditioning; 7.4 Conditioning Models and Robot Control; 7.5 Implementation in Robots; 7.6 Discussion; Chapter 8. A Dynamic Net for Robot Control; 8.1 Introduction; 8.2 Background; 8.3 The Neuro-Connector Model of Learning and Motivation; 8.4 The Net in Operation; 8.5 Implementation on a Mobile Robot |
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8.6 Simulation Experiments8.7 The Appropriateness of Using the Neuro-Connector Model as a Robot Controller; 8.8 Conclusion; 8.A Sensory Conditions; 8.B Behaviors; 8.C Sensory Neuron Parameters; 8.D Releaser Neuron Parameters; 8.E Behavior Neuron Parameters; 8.F Synaptic Parameters; Chapter 9. Neural Vehicles; 9.1 Introduction; 9.2 Reactive Navigation; 9.3 Planned Navigation in Known Environments; 9.4 Map Building; 9.5 Conclusion; Chapter 10. Self-Organization and Autonomous Robots; 10.1 Introduction; 10.2 Hypothesis; 10.3 AI and Autonomous Robots; 10.4 Realizations of Action-Oriented Systems |
| Subject |
Robots -- Control systems.
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Neural networks (Computer science)
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Neural Networks, Computer |
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Robots -- Systèmes de commande.
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Réseaux neuronaux (Informatique)
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TECHNOLOGY & ENGINEERING -- Engineering (General)
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Neural networks (Computer science)
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Robots -- Control systems
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Neuronales Netz
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Roboter
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Regelungssystem
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Réseaux neuronaux.
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| Added Author |
Smagt, Patrick van der. Author.
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Omidvar, Omid. |
| ISBN |
1283619504 |
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9781283619509 |
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9780080925097 (electronic bk.) |
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008092509X (electronic bk.) |
| Standard No. |
AU@ 000050560886 |
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DEBBG BV042308825 |
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AU@ 000056850689 |
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