Adaptive Neural Networks and Robot Intelligent Control in Direct or Indirect Interaction with Humans
Will be published approx. on 1. December 2029
Book
Hardback
120 pages
978-1-78548-204-5 (ISBN)
Description
Adaptive Neural Networks and Robot 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.
More details
Language
English
Place of publication
United Kingdom
Target group
Professional and scholarly
The book is aimed at the public: from students from engineering schools to professional masters students or research 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.
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 16 mm
Weight
330 gr
ISBN-13
978-1-78548-204-5 (9781785482045)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Boubaker Daachi is Full Professor at University of Paris-8 in France and research member at Computer-Science Laboratory LIASD-EA4383. His research interests include Neural Networks, control, localization, routing protocols and security with applications in wireless sensor networks, Brain Computer Interfaces and robotics. Tarek Madani is a Professor at Universite Paris-Est Creteil Val de Marne with expertise in Electronic Engineering, Electrical Engineering, Control Systems Engineering
Content
1. Neural Network Layers
2. Robot Manipulators and Redundancy
3. Portable Robots and Support
4. Adaptive Neural Control of Redundant Robots with Obstacle Avoidance
5. Control Force / Position of Parallel Robots
6. Control Mobile Robots
7. Towards Neuronal Control
2. Robot Manipulators and Redundancy
3. Portable Robots and Support
4. Adaptive Neural Control of Redundant Robots with Obstacle Avoidance
5. Control Force / Position of Parallel Robots
6. Control Mobile Robots
7. Towards Neuronal Control