Intelligent Autonomous Mobile Robot with Integrated Visual and Sensor-Based Navigation

Abstract

The rapid advancements in robotics and artificial intelligence have paved the way for the development of sophisticated Autonomous Mobile Robots (AMRs) capable of navigating and interacting with dynamic environments. In this research, an intelligent autonomous mobile robot equipped with integrated visual and sensor-based navigation is designed and developed. The robot incorporates key functionalities, including teleoperation, autonomous navigation, SLAM (Simultaneous Localization and Mapping) using LiDAR and cameras, object detection and classification, obstacle avoidance, object following, hand gesture control, and advanced path planning algorithms. Control algorithms will ensure precise movement and stability. This study focuses on creating a versatile AMR that can adapt to complex and dynamic environments, leveraging state-of-the-art technologies for high precision and reliability.