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1st Edition - December 1, 2019
Authors: Boubaker Daachi, Tarek Madani
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… Read more
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
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.
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
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
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