Abstract

Automated Guided Robots (AGRs) have become a cornerstone of modern industrial automation enabling precise efficient and reliable execution of pick-and-place operations in mobile applications. These robots are designed to navigate autonomously within dynamic environments identify and manipulate objects and execute tasks with high accuracy and minimal human intervention. The present research explores the development design and application of automated guided robots for mobile pick-and-place operations focusing on integration of navigation systems object detection sensors robotic manipulators and control algorithms. This study examines the technological advancements in mobile robotics including path planning obstacle avoidance real-time decision making sensor fusion and machine vision which collectively enhance operational efficiency and task reliability. Furthermore the research evaluates performance metrics energy efficiency precision and safety considerations of AGRs in dynamic industr