Adaptive Neural Networks and Robot Intelligent Control in Direct or Indirect Interaction with Humans
- 1st Edition - December 31, 2045
- Latest edition
- Authors: Boubaker Daachi, Tarek Madani
- Language: English
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 p… Read more
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
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
- Edition: 1
- Latest edition
- Published: December 31, 2045
- Language: English
BD
Boubaker Daachi
TM