Development of autonomous robot for room mapping using lidar

Sofian, Muhamad Rusyaidi Hazim (2024) Development of autonomous robot for room mapping using lidar. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Preview

Text (Full Text) Development of autonomous robot for room mapping using lidar.pdf - Submitted Version Download (2MB) | Preview

Abstract

The project report titled "Development of Autonomous Robot for Room Mapping Using Lidar" by Muhamad Rusyaidi Hazim Bin Sofian explores the creation of an autonomous robot designed to enhance indoor mapping efficiency through the integration of lidar technology. The primary aim of the research is to improve spatial awareness and navigation capabilities for accurate real-time mapping of indoor environments, thereby addressing practical challenges in various applications such as cleaning, security, and delivery. Aims: The research aims to develop a robust mapping system that leverages lidar sensors to facilitate autonomous robot navigation, aligning with Sustainable Development Goal 9 by fostering innovation in infrastructure development through advanced robotics. Methods: The methodology involves integrating lidar sensors into the robot and developing algorithms to process lidar data for spatial mapping. The system's performance is evaluated through a series of indoor experiments to ensure accuracy and reliability. Results: The findings indicate that the autonomous robot equipped with lidar technology can effectively map indoor environments with a high degree of precision. The robot's enhanced navigation capabilities demonstrate significant potential for practical applications, contributing to the development of sustainable infrastructure. Conclusion: The study concludes that lidar-based mapping systems are instrumental in advancing autonomous robotics for indoor use. The project's outcomes highlight the impact of integrating advanced sensor technologies in robots, thereby promoting innovation and addressing societal and environmental challenges. Future research should focus on refining the algorithms for improved performance and exploring additional applications of the technology.

Actions (login required)

View Item