Human-Robot Interaction: A State-of-the-Art Review and Emerging Trends

Abstract

This paper represents a comprehensive review of the integration of artificial intelligence in physical interaction systems for robotics applications. The review highlights the in- creasing demand to create human-robot collaborations that are much safer, smarter, and more efficient. It then underlines the development of sensor technologies necessary for acquiring high-definition data to describe secure and smooth human-robot interactions. Haptic feedback systems, human-robot safety, and AI-driven control for enhancing multi- modal interaction are some of the major themes discussed. Besides, it introduces Learning from Demonstration, alias Imitation Learning, where robots can learn from demonstrations made by humans, increasing robotic systems’ flexibility and autonomy. Current approaches are critically reviewed along with their advantages and disadvantages in practical use. The findings of this paper show how AI can transform human-robot interaction by offering a much safer, more effective, and intuitive robotic system.