Year: 2025
Type: article
Abstract: Applied robotics has become a transversal tool in research, manufacturing, and automation. Yet, its adoption by non-engineering professionals is limited by technical complexity and rapid paradigm shifts. This review provides an accessible framework that enables non-specialists to understand, evaluate, and apply robotic systems. The discussion is organized into three pillars: taxonomy of platforms (manipulators, mobile robots, humanoids), control methods (kinematics, dynamics, trajectory planning), and programming and training paradigms (from ROS architectures to imitation and reinforcement learning). Emphasis is placed on integrating classical control, structured programming, and machine learning into hybrid architectures that achieve robust and adaptable behavior. The article thus serves as both educational and strategic guidance, helping readers to select, integrate, and operate robots for real-world problem solving and innovation across multiple domains.
Source: Prohominum
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414845542