SIGNAL PROCESSING IN ROBOT MANIPULATORS: MATHEMATICAL FRAMEWORKS AND APPLICATIONS
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Journals Park Publishing
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Signal processing is pivotal in enhancing the performance of robot manipulators by ensuring precise sensor data interpretation, noise reduction, and real-time control. This paper explores the role of signal processing in sensor data acquisition, control signal generation, noise mitigation, and real-time implementation. Case studies in industrial and medical applications underscore its impact on accuracy and reliability. Emerging trends, such as AI integration, are discussed to highlight future research directions.