Adaptive Neural Networks and Robot Intelligent Control in Direct or Indirect Interaction with Humans

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.

• 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

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