Adaptive Neural Networks and Robots Intelligent Control in Direct or Indirect Interaction with Humans 1st Edition

Adaptive Neural Networks and Robots Intelligent Control in Direct or Indirect Interaction with Humans 1st Edition

: In stock

: Elsevier

: 9781785482045

: Book

$70.95

Adaptive Neural Networks and Robots Intelligent Control in Direct or Indirect Interaction with Humans offers a particular methodology for using neural networks to solve control problems of nonlinear systems interacting directly (mobile robot exoskeleton type) or indirectly with humans (redundant robot manipulators serial or parallel).

In addition, the book provides novel perspectives and research ideas for further strengthening the presence of humans in the control loop (intention, thought, etc.). The robots used for illustration purposes were designed in collaboration with industry.

Key Features

  • Offers a methodology for using neural networks to solve control problems of nonlinear systems interacting directly or indirectly with humans
  • Provides novel perspectives and research ideas for further strengthening the presence of humans in the control loop

Readership

Students from engineering schools to professional master students or researchers to PhD students in the field of robotics. It can also be used by manufacturers wishing to develop intelligent systems or by faculties responsible for preparing lectures on nonlinear control and smart applications to robotic systems interacting with humans

Table of Contents

General Introduction
Neural Network Layers
Robot Manipulators and Redundancy
Portable Robots and Support
Adaptive Neural Control of Redundant Robots with Obstacle Avoidance
Control Force / Position of Parallel Robots
Control of Mobile Robots
Towards Neuronal Control
General Conclusions and Perspectives