Autonomous Robotic System

Autonomous robotic systems are being developed to perform complex tasks in diverse environments, with a primary objective of increasing efficiency and safety across various sectors. Current research emphasizes improving robot perception and decision-making through techniques like large language models (LLMs) for advanced reasoning and interaction, computer vision for object recognition and navigation (including SLAM algorithms), and reinforcement learning for optimizing actions in uncertain environments. These advancements are driving significant impact, enabling applications ranging from warehouse automation and construction to disaster response and healthcare assistance.