Adaptive Neural Networks and Robot Intelligent Control in Direct or Indirect Interaction with Humans - Daachi, Boubaker; Madani, Tarek
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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.

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Produktbeschreibung
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.
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Autorenporträt
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.