Chapter
2.6 The Dynamics of the Mechanism with a ParallelStructure Obtained by Means of the IncompleteData Identification
2.7 Verification of the Structural Identification Results
Chapter 3 - An Autonomous Scale Ship Model forParametric Rolling Towing Tank Testing
3.2.4 Track-Keeping Control
3.3.3 Towing Tank Tests and Results
3.3.3.1 Mathematical model validation
3.3.3.2 Validation of stability diagrams
3.3.3.3 Prediction system tests
3.4 Conclusions and FutureWork
Chapter 4 - Autonomous Knowledge Discovery Basedon Artificial Curiosity-Driven Learningby Interaction
4.2 Proposed System and Role of Curiosity
4.2.1 Interpretation from Observation
4.2.2 Search for the Most Coherent Interpretation
4.2.3 Human-Robot Interaction
4.3 Validation Results by Simulation
4.4 Implementation on Real Robot and Validation Results
Chapter 5 - Information Technology for InteractiveRobot Task Training ThroughDemonstration of Movement1
5.2 Conception and Principles of Motion Modeling
5.2.1 Generalized Model of Motion
5.2.2 Algorithm for Robot Task Training by Demonstration
5.2.3 Algorithm for Motion Reproduction after Task Training byDemonstration
5.2.4 Verification of Results for the Task of Training theTelecontrolled (Remote Controlled) Robot
5.2.5 Major Advantages of Task Training by Demonstration
5.3 Algorithms and Models for Teaching Movements
5.3.1 Task Training by Demonstration of Movement amongthe Objects of the Environment
5.3.2 Basic Algorithms for RobotTaskTraining by Demonstration
5.3.3 Training Algorithm for the Environmental Survey Motion
5.3.4 Training Algorithm for Grabbing a Single Object
5.3.5 Special Features of the Algorithm for Reproduction ofMovements
5.3.6 Some Results of Experimental Studies
5.3.7 Overview of the Environment for Task Training byDemonstration of the Movements of the Human Head
5.3.8 Training the Robot to Grab Objects by Demonstration ofOperator Hand Movements
Chapter 6 - A Multi-Agent Reinforcement LearningApproach for the Efficient Controlof Mobile Robots
6.2 Holonic Homogenous Multi-Agent Systems
6.2.1 Holonic, Multi-Agent Systems
6.2.2 Homogenous, Multi-Agent Systems
6.2.3 Approach to Commitment and Coordination in H2 MAS
6.2.4 Learning to Coordinate Through Interaction
6.3 Vehicle Steering Module
6.4 A Decomposition of Mobile Platform
6.5 The Robot Control System Learning
6.5.1 Learning of the Turning of a Module-Agent
6.5.2 Learning of the Turning of a Module-Agent
Chapter 7 - Underwater Robot Intelligent Control Basedon Multilayer Neural Network
7.2 Underwater Robot Model
7.3 Intelligent NN Controller and Learning AlgorithmDerivation
7.4 Simulation Results of the Intelligent NN Controller
7.5 Modification of NN Control
Chapter 8 - Advanced Trends in Design of SlipDisplacement Sensors for Intelligent Robots
8.2 Analysis of Robot Task Solving Based on SlipDisplacement Signals Detection
8.3 Analysis of Methods for Slip Displacement SensorsDesign
8.4 Mathematical Model of Magnetic Slip DisplacementSensor
8.4.1 SDS Based on “Permanent Magnet/Hall Sensor” SensitiveElement and Its Mathematical Model
8.5 Advanced Approaches for Increasing the Efficiencyof Slip Displacement Sensors
8.6 Advances in Development of Smart Grippers forIntelligent Robots
8.6.1 Self-Clamping Grippers of Intelligent Robots
8.6.2 Slip Displacement Signal Processing in Real Time
Chapter 9 - Distributed Data Acquisition and ControlSystems for a Sized Autonomous Vehicle
9.2 The Testing Environment
9.3 Description of the System
9.4.2 Hough-Transformation
9.4.7 Coordinate Transformation
9.5 Control of the Vehicle
Chapter 10 - Polymetric Sensing in Intelligent Systems
10.1 Topicality of Polymetric Sensing
10.2 Advanced Perception Components of IntelligentSystems or Robots
10.2.1 Comparison of the Basics of Classical and PolymetricSensing
10.2.2 Advanced Structure of Multi-Agent Intelligent Systems
10.3 Practical Example of Polymetric Sensing
10.3.1 Adding the Time Scale
10.3.2 Adding the Information about the Velocity of theElectromagneticWave
10.4 Efficiency of Industrial Polymetric Systems
10.4.1.1 Sensory monitoring agency SMA
10.4.1.2 Information Environment Agency INE
10.4.1.3 Operator Interface Agency OPI
10.4.1.4 Advantages of the polymetric sensing
10.4.1.5 Floating dock operation control system
10.4.1.6 Onshore applications
10.4.1.7 Special applications
Chapter 11 - Design and Implementation of WirelessSensor Network Based on MultilevelFemtocells for Home Monitoring
11.2 Network Architecture and Femtocell Structure
11.2.1 Body Sensor Network
11.2.2 Ambient Sensor Network
11.2.3 Emergency Sensor Network
11.2.4 Higher-level Architecture and Functional Overview
11.4 Experimental Results
Chapter 12 - Common Framework Modelfor Multi-Purpose Underwater DataCollection Devices Deployed with RemotelyOperated Vehicles
12.2.5 Possible Applications
12.3.2 Actuator Definition
12.4.1 ROV Manipulator Systems
12.4.2 Types of Offshore Constructions
12.6 Common Modular Framework
Chapter 13 - M2M in Agriculture – Business Modelsand Security Issues
13.3 Communication and Standardization
13.4.1 Process Transparency (PT)
13.4.2 Operations Data Acquisition (ODA)
13.4.3 Remote Software Update (RSU)
13.7 Communication Security
13.7.2 Communicating On-the-Go
13.7.3 Covering Dead Spots
13.7.4 Securing WLAN Infrastructures
Advances in Intelligent Robotics and Collaborative Automation ¿
( River Publishers Series in Automation, Control and Robotics )
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