A Review of AI in Robotics: Advances in Learning, Perception, and Human-Robot Interaction

Abstract

Artificial intelligence is a driving force behind modern robotics, enabling autonomous systems to learn, adapt, and interact with humans. This paper reviews AI techniques used in robot perception, motion planning, and reinforcement learning. We analyze applications in industrial automation, medical robotics, and assistive technologies. Challenges such as real-time decision-making, safety concerns, and ethical considerations in human-robot collaboration are discussed. The review concludes with future research directions in self-learning robots and multi-agent AI systems.