This book explores the modelling and control of humanoid robots, presenting them as complex systems designed to replicate aspects of human motion, interaction, and decision-making. It considers how mathematical models and control strategies are developed to enable balance, coordination, and adaptive behaviour within humanoid structures. The narrative reflects on the challenges involved in translating human-like movement into mechanical systems, where precision, stability, and responsiveness are essential. It also examines how control architectures are designed to manage dynamic environments, allowing humanoid robots to perform tasks with increasing autonomy and reliability. Attention is given to the integration of sensing, actuation, and computational intelligence, illustrating how these elements combine to produce coordinated and functional behaviour. The discussion also highlights the role of humanoid systems in advancing automation and personalised assistance technologies.

The book offers insight into how modelling techniques and control frameworks contribute to the evolution of humanoid robotics. It provides a perspective on both theoretical development and practical application, making it valuable for students, researchers, and professionals interested in advanced robotic systems.