Laxmidhar Behera, Swagat Kumar, Prem Kumar Patchaikani, Ranjith Ravindranathan Nair, Samrat Dutta

Intelligent Control of Robotic Systems (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book illustrates basic principles, along with the development of the advanced algorithms, to realize smart robotic systems. It speaks to strategies by which a robot (manipulators, mobile robot, quadrotor) can learn its own kinematics and dynamics from data. In this context, two major issues have been dealt with; namely, stability of the systems and experimental validations. Learning algorithms and techniques as covered in this book easily extend to other robotic systems as well. The book contains MATLAB- based examples and c-codes under robot operating systems (ROS) for experimental validation so that readers can replicate these algorithms in robotics platforms.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 674
• Erscheinungstermin: 7. April 2020
• Englisch
• ISBN-13: 9780429944017
• Artikelnr.: 59152058

Autorenporträt

Laxmidhar Behera, Swagat Kumar, Prem Kumar Patchaikani, Ranjith Ravindranathan Nair, Samrat Dutta

Inhaltsangabe

1. Introduction Part 1: Manipulators 2. Kinematic and Dynamic Models of
Robot Manipulators 3. Hand-eye Coordination of a Robotic Arm using KSOM
Network 4. Model-based Visual Servoing of a 7 DOF Manipulator 5.
Learning-Based Visual Servoing 6. Visual Servoing using an Adaptive
Distributed Takagi-Sugeno (T-S) Fuzzy Model 7. Kinematic Control using
Single Network Adaptive Critic 8. Dynamic Control using Single Network
Adaptive Critic 9. Imitation Learning 10. Visual Perception 11.
Vision-Based Grasping 12. Warehouse Automation: An Example Part 2: Mobile
Robotics 13. Introduction to Mobile Robotics and Control 14. Multi-robot
Formation 15. Event Triggered Multi-Robot Consensus 16. Human Tracking
Algorithm using SURF Based Dynamic Object Model. Exercises. Bibliography.
Index.