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Kinematic Control of Redundant Robot Arms Using Neural Networks

specific level, it deals with the dynamic-neural-network based kinematic control of redundant robot arms by using theoretical tools and simulations;

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Neural Networks for Cooperative Control of Multiple Robot Arms

This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed;

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Nonlinear Control Techniques for Robot Manipulators - Nonlinear Control of Mechatronic Systems with Applications in Robotics

systems. A kinematic control, for whole-arm grasping of objects using redundant robot manipulators, which facilitates the encoding of both the end;

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Robot Manipulator Redundancy Resolution

motion planning and control of redundant robot manipulators and describes the most successful strategy thus far developed for resolving;

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Human-Robot Interaction Control Using Reinforcemen t Learning

control in worst-case uncertainty using reinforcement learning and the control of redundant robots using multi-agent reinforcement learning;

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Deep Reinforcement Learning with Guaranteed Performance

methods; one addresses adaptive kinematic control of redundant manipulators, and the other centers on the effect of periodic input disturbance on;

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Advances in Robot Kinematics 2018

and simulation, kinematic design of robots, kinematics in robot control, theories and methods in kinematics, singularity analysis, kinematic;

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Wheeled Mobile Robot Control

This book focuses on the development and methodologies of trajectory control of differential-drive wheeled nonholonomic mobile robots. The;

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Wheeled Mobile Robot Control

This book focuses on the development and methodologies of trajectory control of differential-drive wheeled nonholonomic mobile robots. The;

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Robot Control using an Artificial Neural Network

artificial neural network type were considered. An introduction to learning and control structures using artificial neural networks were given. These;

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Neural Network Control Of Robots And Nonlinear Systems

. The first chapter provides a background on neural networks and the second on dynamical systems and control. Chapter three introduces the robot;

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Robot Analysis and Control

Introduces the basic concepts of robot manipulation----the fundamental kinematic and dynamic analysis of manipulator arms, and the key;

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Robot Manipulator Control

practical information on commercial robot manipulators and devices and cutting-edge methods in neural network control.;

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Camera-Aided Robot Calibration

discusses in detail the final stage of robot calibration - accuracy compensation - using the identified kinematic error parameters. It offers;

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Camera-Aided Robot Calibration

discusses in detail the final stage of robot calibration - accuracy compensation - using the identified kinematic error parameters. It offers;

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Robot Hands And Multi-fingered Haptic Interfaces

-linear control systems; robot hand control; design and control of multi-fingered haptic interfaces; application systems using multi-fingered;

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Intelligent Force and Position Control of 6-DOF Robot Manipulator

, dynamic modeling of environment stiffness, controller design for free motion robot control, designing of multilayer FFB neural networks with;

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Adaptive Neural Control of Walking Robots

An important title in the Engineering Research Series Adaptive Neural Control of Walking Robots brings together two important areas;

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Advances in Robot Kinematics

over constrained. The fifty-six contributions report the latest results in robot kinematics with emphasis on emerging areas such as design and control;

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Biologically Inspired Control of Humanoid Robot Arms

dynamically, using nonlinear, robust and adaptive control techniques in practical robot systems. The control method caters to a rising interest;

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Whole-Body Control for Multi-Contact Balancing of Humanoid Robots

This book aims at providing algorithms for balance control of legged, torque-controlled humanoid robots. A humanoid robot normally uses the;

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Robot Mechanisms

of robot mechanisms. The coverage of topics is untypical. The focus is on robot kinematics. The book creates a balance between theoretical and;

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AI based Robot Safe Learning and Control

This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic;

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Network Models for Control and Processing

related fields. These cover: control processes, modelling features and operations of biological neural networks and neurons, simulation;

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Neural Networks for Robotics

The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost;

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Neural Networks for Robotics

The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost;

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PID Control with Intelligent Compensation for Exoskeleton Robots

PID Control with Intelligent Compensation for Exoskeleton Robots explains how to use neural PD and PID controls to reduce integration gain;

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