In autonomous robotics, achieving precise navigation remains a formidable challenge, necessitating advancements in sensor fusion techniques. This study addresses the pivotal role of Micro-Electro-Mechanical Systems (MEMS) in enhancing sensor fusion for autonomous navigation. The pressing problem of achieving accurate and real-time navigation in dynamic environments has spurred the need for innovative solutions. The existing literature reveals a research gap in the seamless integration of MEMS sensors for robust navigation. While traditional sensor fusion methods often face limitations in handling diverse and rapidly changing environmental conditions, MEMS offer a promising avenue for overcoming these challenges. The miniature size, low power consumption, and high sensitivity of MEMS sensors make them ideal candidates for providing rich and reliable data for navigation purposes. The method employed in this research involves a comprehensive integration of MEMS sensors, such as accelerometers, gyroscopes, and magnetometers, into a unified sensor fusion framework. This framework leverages advanced algorithms to intelligently combine data from multiple sensors, mitigating individual sensor limitations and enhancing overall accuracy. The integration of MEMS sensors aims to provide a more holistic understanding of the robot surroundings, facilitating improved decision-making in navigation tasks. The results of our study showcase a significant improvement in the accuracy and efficiency of autonomous navigation in dynamic environments. MEMS-enhanced sensor fusion proves to be a viable solution for addressing the challenges posed by unpredictable terrains and obstacles. The robot equipped with MEMS sensors demonstrates enhanced adaptability and responsiveness, showcasing the potential for real-world applications.
V.S. Krushnasamy1, Pravin Prakash Adivarekar2, G. Deepa3, Mohammed Azam4, Prince Williams5
Dayananda Sagar College of Engineering, India1, A.P.Shah Institute of Technology, India2, Kongu Engineering College, India3, ISL Engineering College, India4, University of Technology and Applied Sciences, Oman5
MEMS, Sensor Fusion, Autonomous Navigation, Robotics
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| Published By :
ICTACT
Published In :
ICTACT Journal on Microelectronics
( Volume: 9 , Issue: 3 , Pages: 1607 - 1612 )
Date of Publication :
October 2023
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