Опубликован 06.07.2025
Как цитировать
Аннотация
The development of real-time controlled robotic systems has gained significant attention due to their applications in automation, navigation, and stabilization. This research focused on designing and implementing a robot capable of maintaining balance and precise motion control using a combination of gyroscope and accelerometer sensors. The system utilized sensor fusion algorithms to process real-time data, enabling dynamic adjustments to the robot's movements. A PID (Proportional-Integral-Derivative) control mechanism was integrated to enhance stability and responsiveness. Experimental results demonstrated the effectiveness of the proposed system in maintaining equilibrium under varying external disturbances. The study highlighted the importance of sensor accuracy and control algorithm efficiency in real-time robotic applications. The findings contribute to advancements in autonomous robotics, particularly in scenarios requiring high precision and adaptability. Future research directions include optimizing computational efficiency and expanding the system's capabilities for more complex environments.
Библиографические ссылки
- Dupont, L., & Moreau, J. (2021). Control systems for autonomous robotics: Theory and applications. Paris: Éditions Technologiques.
- Lefèvre, M., & Bernard, C. (2019). Sensor fusion in robotic navigation: Methods and challenges. Lyon: Presses Universitaires de Lyon.
- Rousseau, P., & Girard, A. (2020). Real-time embedded systems for robotics. Toulouse: Éditions d’Informatique.