Authors: Rajeev Ranjan Prasad , Rupali Vijayvargiya
Abstract: Mechatronics, an interdisciplinary domain combining mechanical, electronics, and computational engineering, increasingly relies on sensor fusion and realtime data acquisition to improve system performance and reliability. Sensor fusion allows integration of data from multiple sensors, reducing uncertainties and enhancing decision-making in dynamic environments. Real-time data acquisition ensures timely monitoring and control, vital for adaptive and autonomous systems. This paper reviews recent advances in sensor fusion algorithms, hardware architectures for data acquisition, and applications in robotics, manufacturing, and automation. Challenges such as synchronization, noise filtering, and computational complexity are discussed. Furthermore, the paper presents case studies highlighting practical implementations, and identifies future research directions to advance mechatronic system intelligence.
Keywords: Sensor fusion, real-time data acquisition, mechatronics, multisensor integration, robotics, manufacturing automation
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