LEADING GLOBAL TECHNOLOGIES FOR APPLYING ARTIFICIAL INTELLIGENCE IN ROBOTIC SYSTEMS

Abstract

Humanoid robotic systems have rapidly evolved due to breakthroughs in artificial intelligence (AI), control algorithms, bi-pedal locomotion dynamics, and human–robot interaction (HRI). Unlike conventional robotic platforms, humanoid robots replicate human biomechanics and cognitive functionality, requiring advanced computational models for balance, perception, reasoning, manipulation, and social interaction. This article presents a comprehensive overview of state-of-the-art AI-driven technologies used in next-generation humanoid robots, exploring mathematical modeling, control frameworks, perception algorithms, multimodal neural architectures, and adaptive decision-making systems.