Modeling, Dynamics and Control approaches for Modern Robotics

Ahmad Taher Azar, Arezki Fekik

• Publisher: Academic Press
• Year: 2026
• Topic: Technology & Engineering
• eBook ISBN:
  9780443301070
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Technology & Engineering

Modeling, Dynamics and Control approaches for Modern Robotics explores and investigates various theoretical and practical principles related to modeling, dynamics, and control in robotics. The objective is to enhance the understanding and development of robotic systems by applying these principles. Through accurate representations of robot kinematics and dynamics, researchers aim to effectively analyze and predict robot behavior. This title focuses on designing algorithms and control strategies for precise and efficient robotic system management.Additionally, the book delves into sensory feedback and perception systems for robots, advancements in autonomous vehicles, industrial automation, humanoid robots, and medical robotics, showcasing the integration of technology and computing power in modern applications. The study of control approaches and the development of optimized performance schemes are highlighted, demonstrating the significance of stability and adaptive response in changing environments. This comprehensive examination underscores the evolution and complexity of robotic systems, emphasizing their growing role in various sectors. - Includes advanced methodologies for various robotics control issues - Deals with recent research problems in the areas of robotics, control systems, dynamical modeling, and optimization - Presents advanced techniques of motion control and path planning of mobile robots - Covers chapters that are lucidly illustrated with numerical examples and simulations - Discusses details of applications and future research areas

Table of contents

• Title of Book
• Chapter 1 Modeling and simulation methodology applied in the case study of the design of a robotic system of weapons controlled remotely
• Chapter 2 New properties of Euler’s kinematics: an analysis and design approach for manipulator robots
• Chapter 3 Dynamical modeling and predictive control of mini drones with low computing power
• Chapter 4 A systematic review of exoskeletons energy systems
• Chapter 5 Time-delay estimation with a fixed-time sliding mode control for uncertain rigid robot dynamics
• Chapter 6 Visualization of 3D trajectory control of drones using computer aided modeling
• Chapter 7 Dynamic robot modeling of a joint mechanism for flexible reconfiguration
• Chapter 8 Hardware implementation of a neuro-fuzzy controller for robotic manipulators
• Chapter 9 Use of MEMS accelerometers in series elastic actuators for physical interaction
• Chapter 10 Advanced robotics: modeling, control, and applications for flexible and teleoperated flexible link robots
• Chapter 11 Trajectory planning of a mobile robot with obstacle avoidance using conventional methods and heuristic methods
• Chapter 12 Modeling and control of position servo-actuated robot manipulators
• Chapter 13 Developing medical robotics with AI-enhanced biosensors
• Chapter 14 Motion planning for coordinating unmanned vehicles in smart factories
• Chapter 15 Proportional-derivative control for nonlinear robot dynamics using adaptive finite-time approach
• Chapter 16 Simulation of the operation of an autonomous wheelchair for patients with amyotrophic lateral sclerosis with deep reinforcement learning algorithms, large language model, and tracking the patient’s iris
• Chapter 17 Navigation safety optimization of mobile autonomous robots using deep reinforcement learning, long short-term memory, and artificial immune system
• Chapter 18 Enhanced attitude control of quadcopters in hovering using fractional order controllers
• Chapter 19 Dynamic modeling of a class of quadrotor unmanned aerial vehicles and its control via proportional-integral-derivative and input-output feedback linearization methods
• Chapter 20 Investigating complex dynamics in the passive gait of the kneed bipedal robot: insights from impulsive hybrid nonlinear modeling
• Index