The work "Mapping and Navigation of Autonomous Robot with LiDAR" focuses on the development of an advanced robotic system capable of autonomously navigating and mapping its environment using LiDAR technology. LiDAR (Light Detection and Ranging) has emerged as a powerful sensing technology that enables precise and detailed 2D mapping of the surroundings by emitting laser beams and measuring their reflections. By leveraging LiDAR, this work aims to enhance the capabilities of autonomous robots and unlock their potential in various applications.
The main objectives of this paper encompass several key aspects. Firstly, it involves integrating a LiDAR sensor with the robot's existing hardware and software systems, establishing seamless communication and data exchange. Secondly, the article focuses on developing algorithms and techniques for environment mapping using LiDAR data. This entails utilizing laser-based measurements to construct accurate and detailed 2D maps of the robot's surroundings.
Real-time operation and robustness are vital considerations in this work. The system will be optimized to ensure fast and responsive decision-making based on LiDAR data, allowing the robot to adapt to dynamic environments and changing conditions. It will be designed to handle various scenarios, such as different lighting conditions, diverse terrain, and the presence of moving objects.
Ultimately, the successful completion of this task will lead to the development of an autonomous robot that can independently explore unknown environments, map them in detail, and navigate through them safely and efficiently using LiDAR technology.