Tugas Akhir
Implementation of gyroscope for rotation in line follower based food delivery robot using kalman filter algorithm / Abdul Hamid Mahdi
Abstrak
Recent developments in robotics and automation have significantly impacted the food and beverage (F amp B) industry where the use of robots in processing handling packaging and serving food is on the rise. The adoption of this technology is driven by various factors including labor shortages changing consumer trends and the need to enhance operational efficiency. Technologies such as line-following robots augmented reality and artificial intelligence are now integrated into F amp B processes creating new opportunities to improve productivity and service quality. Public perception of the use of robots in this sector is generally positive although challenges in consumer adoption of new technologies still need to be addressed. This research also highlights key challenges in the implementation of robotics in the food and beverage industry especially in improving efficiency and addressing labor shortages. While line-following robots offer significant potential for automating food delivery issues related to sensor accuracy and design optimization remain a focus of the research. Through the integration of the gyroscope sensor and Kalman Filter this study aims to address weaknesses in rotation stability and robot angle control enhancing its ability to operate in complex environments. The results of the research show that the application of the gyroscope and Kalman Filter significantly improves the rotation precision and orientation stability of the robot both when following the line and interacting with customer tables. With very small error rates the robot moves more efficiently and provides more accurate service. This research contributes to the digital transformation of the F amp B industry addressing operational challenges and enhancing customer experiences with more reliable robotic technology.