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Learning for Adaptive and Reactive Robot Control

of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with;

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AI based Robot Safe Learning and Control

, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

; and neural learning and control co-design for robot arm control. Next, it looks at robust neural controller design for robot arm control and;

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AI based Robot Safe Learning and Control

systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain;

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Intelligent Robotics and Applications

joint drive for robots; modular robots and other mechatronic systems; compliant manipulation learning and control for lightweight robot;

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Intelligent Robotics and Applications

joint drive for robots; modular robots and other mechatronic systems; compliant manipulation learning and control for lightweight robot;

Vergelijkbare producten zoals Intelligent Robotics and Applications

Intelligent Robotics and Applications

joint drive for robots; modular robots and other mechatronic systems; compliant manipulation learning and control for lightweight robot;

Vergelijkbare producten zoals Intelligent Robotics and Applications

Intelligent Robotics and Applications

joint drive for robots; modular robots and other mechatronic systems; compliant manipulation learning and control for lightweight robot;

Vergelijkbare producten zoals Intelligent Robotics and Applications

Intelligent Robotics and Applications

joint drive for robots; modular robots and other mechatronic systems; compliant manipulation learning and control for lightweight robot;

Vergelijkbare producten zoals Intelligent Robotics and Applications

Intelligent Robotics and Applications

joint drive for robots; modular robots and other mechatronic systems; compliant manipulation learning and control for lightweight robot;

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Learning Control

Covers iterative learning impedance control in both human-robot interaction and collaborative robots;

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Human-Robot Interaction Control Using Reinforcemen t Learning

-free human-robot interaction control and human-in-the-loop control using Euler angles Practical discussions of reinforcement learning for;

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Adaptive Control Of Robot Manipulators

uncertainties. It works for free space tracking control as well as compliant motion control. It is applicable to the rigid robot and the flexible joint;

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Robot Manipulator Control

Robot Manipulator Control offers a complete survey of control systems for serial-link robot arms and acknowledges how robotic device;

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Safe Robot Navigation Among Moving and Steady Obstacles

obstacles. Chapter 12 considers a multiple robot scenario. For the Control and Automation Engineer, this book offers accessible and;

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Adaptive Neural Control of Walking Robots

of technological development: adaptive neural control and mobile/walking robots. The development and management of locomotory robots has not only produced;

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Biologically Inspired Control of Humanoid Robot Arms

in humanoid robots and the need for appropriate control schemes to match these systems. Unlike the classic kinematic schemes used in industrial;

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Robot Learning Human Skills and Intelligent Control Design

successfully implemented for various robotic tasks. Among these methods, learning from demonstrations (LfD) enables robots to effectively and;

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Adaptive Control

research for the adaptive control theory, and recent new findings obtained by the technique of adaptive control. Apparently, the book cannot;

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Dynamics And Robust Control Of Robot-environment Interaction

This book covers the most attractive problem in robot control, dealing with the direct interaction between a robot and a dynamic;

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Adaptive Robust Control for Planar Snake Robots

adaptive robust control design for such a motion. Using numerous illustrations and tables, Adaptive Robust Control for Planar Snake Robots;

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Adaptive Robust Control for Planar Snake Robots

adaptive robust control design for such a motion. Using numerous illustrations and tables, Adaptive Robust Control for Planar Snake Robots;

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Neural Network Control Of Robots And Nonlinear Systems

Proofs For NN Controllers For Robot Arms, Practical Robotic systems with high frequency vibratory modes, force control and a general class of non;

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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible joint;

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Intelligent Robotics and Applications

service; neural learning enhanced motion planning and control for human robot interaction; medical engineering.;

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Learning-Based Adaptive Control

learning algorithms.Covers fundamental concepts, state-of-the-art research, necessary tools for modeling, and control.;

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Robot Control using an Artificial Neural Network

Inhaltsangabe: Abstract: The aim of the project was to control three joints of an industrial robot in terms of its position, velocity and;

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