Modeling, Dynamics and Control approaches for Modern Robotics
The field of robotics has seen significant advances in recent years, spurred by breakthroughs in technology and computing power. Modern robotics encompasses a wide range of applications, from autonomous vehicles and industrial automation to humanoid robots and medical robotics. These advances have paved the way for more complex and sophisticated robotic systems capable of performing a variety of tasks with precision and efficiency. The purpose of Modeling, Dynamics and Control approaches for Modern Robotics is to explore and investigate various approaches related to modeling, dynamics and control in the context of modern robotics. The objective is to improve the understanding and development of robotic systems by applying the modern theoretical and practical principles of these fields. By studying modeling aspects, researchers aim to create accurate representations of robot kinematics and dynamics, allowing better analysis and prediction of robot behavior. Additionally, this title focuses on control approaches, aiming to design algorithms and strategies for precise and efficient control of robotic systems. This involves developing control schemes that optimize robot performance, provide stability, and allow adaptation to changing environments or tasks. The research also considers the integration of sensory feedback and perception systems, allowing robots to interact with their environment and make informed decisions.
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Modeling, Dynamics and Control approaches for Modern Robotics
The field of robotics has seen significant advances in recent years, spurred by breakthroughs in technology and computing power. Modern robotics encompasses a wide range of applications, from autonomous vehicles and industrial automation to humanoid robots and medical robotics. These advances have paved the way for more complex and sophisticated robotic systems capable of performing a variety of tasks with precision and efficiency. The purpose of Modeling, Dynamics and Control approaches for Modern Robotics is to explore and investigate various approaches related to modeling, dynamics and control in the context of modern robotics. The objective is to improve the understanding and development of robotic systems by applying the modern theoretical and practical principles of these fields. By studying modeling aspects, researchers aim to create accurate representations of robot kinematics and dynamics, allowing better analysis and prediction of robot behavior. Additionally, this title focuses on control approaches, aiming to design algorithms and strategies for precise and efficient control of robotic systems. This involves developing control schemes that optimize robot performance, provide stability, and allow adaptation to changing environments or tasks. The research also considers the integration of sensory feedback and perception systems, allowing robots to interact with their environment and make informed decisions.
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Modeling, Dynamics and Control approaches for Modern Robotics

Modeling, Dynamics and Control approaches for Modern Robotics

Modeling, Dynamics and Control approaches for Modern Robotics
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Modeling, Dynamics and Control approaches for Modern Robotics

Modeling, Dynamics and Control approaches for Modern Robotics

Overview

The field of robotics has seen significant advances in recent years, spurred by breakthroughs in technology and computing power. Modern robotics encompasses a wide range of applications, from autonomous vehicles and industrial automation to humanoid robots and medical robotics. These advances have paved the way for more complex and sophisticated robotic systems capable of performing a variety of tasks with precision and efficiency. The purpose of Modeling, Dynamics and Control approaches for Modern Robotics is to explore and investigate various approaches related to modeling, dynamics and control in the context of modern robotics. The objective is to improve the understanding and development of robotic systems by applying the modern theoretical and practical principles of these fields. By studying modeling aspects, researchers aim to create accurate representations of robot kinematics and dynamics, allowing better analysis and prediction of robot behavior. Additionally, this title focuses on control approaches, aiming to design algorithms and strategies for precise and efficient control of robotic systems. This involves developing control schemes that optimize robot performance, provide stability, and allow adaptation to changing environments or tasks. The research also considers the integration of sensory feedback and perception systems, allowing robots to interact with their environment and make informed decisions.

Product Details

ISBN-13: 9780443301063
Publisher: Elsevier Science
Publication date: 11/03/2025
Series: Advances in Nonlinear Dynamical Systems and Robotics (ANDC)
Pages: 700
Product dimensions: 6.00(w) x 9.00(h) x 0.00(d)

About the Author

Ahmad Azar is a Research Associate Professor at the Prince Sultan University, Riyadh, Kingdom Saudi Arabia. He is also an associate professor at the Faculty of Computers and Artificial intelligence, in Benha University, Egypt. He is the Editor in Chief of the International Journal of System Dynamics Applications (IJSDA), International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), and International Journal of Intelligent Engineering Informatics (IJIEI), among others. He is currently Associate Editor of ISA Transactions, Elsevier, and the IEEE systems journal. Dr. Azar works in the areas of control theory & applications, process control, chaos control and synchronization, nonlinear control, renewable energy, computational intelligence.

Arezki FEKIK is a senior lecturer at Akli Mohand Oulhadj University-Bouira, Algeria. He is a member of the International Group of System Control (IGCS), a member of the Springer conference committee and a member of the IEEE SMARTTECH conference. His current research interests include power electronics and its applications such as wind turbines, photovoltaic systems, reliability, harmonics, microgrids and variable speed drives. He has published more than 55 journal and conference articles and book chapters in the fields of power electronics and its applications.

Table of Contents

1. Control Systems Principles
2. Kinematics and Dynamics
3. Sensors and Actuators control
4. System Architectures
5. Trajectory planning of a mobile robot with obstacle avoidance using conventional methods and heuristic methods
6. Hardware Implementation of a Neuro-fuzzy Controller for robotic Manipulators
7. Computed Torque Control of the PUMA 560 Robot
8. Developing Medical Robotics with AI-Enhanced Biosensors
9. Visualisation of 3D trajectory control of drones using computer aided modelling.
10. Proportional-Derivative control for nonlinear robot dynamics using adaptive finite-time approach
11. Disturbance observer based sliding mode control with fixed-time convergence for perturbed robotic manipulators
12. Drone-based image processing to detect palm tree diseases
13. Model-Based Control Strategies
14. Optimal Control Approaches
15. Robust Control Strategies for Robotics
16. Advances in Medical Robotics
17. Explainable AI for Robotics
18. Reinforcement Learning for Robotics
19. Deep Reinforcement Learning for Robotics
20. Ethics for Robotics

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Explore modern robotics, emphasizing modeling, dynamics, and control to enhance the development of advanced robotic systems capable of precise, efficient, and adaptive performance in various applications

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