SIGNAL PROCESSING IN ROBOT MANIPULATORS: MATHEMATICAL FRAMEWORKS AND APPLICATIONS
| dc.contributor.author | Egamberdiev Azimjon | |
| dc.contributor.author | Ismanov Muhammadziyo | |
| dc.date.accessioned | 2025-12-28T20:21:28Z | |
| dc.date.issued | 2025-06-26 | |
| dc.description.abstract | 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. | |
| dc.format | application/pdf | |
| dc.identifier.uri | https://sjird.journalspark.org/index.php/sjird/article/view/1253 | |
| dc.identifier.uri | https://asianeducationindex.com/handle/123456789/14064 | |
| dc.language.iso | eng | |
| dc.publisher | Journals Park Publishing | |
| dc.relation | https://sjird.journalspark.org/index.php/sjird/article/view/1253/1203 | |
| dc.source | Spectrum Journal of Innovation, Reforms and Development; Vol. 40 (2025); 99-109 | |
| dc.source | 2751-1731 | |
| dc.subject | Robot Manipulators, Signal Processing, Sensor Data Acquisition, Kalman Filtering, PID Control, Model Predictive Control (MPC), Noise Reduction, Adaptive Filtering (LMS Algorithm), Wavelet Transform, Euler-Lagrange Dynamics, Jacobian-Based Control, Quantization Error, Nyquist-Shannon Theorem, Real-Time Processing, Sensor Fusion, Latency Mitigation, Industrial Automation, Medical Robotics, AI/ML Integration, Quantization Error. | |
| dc.title | SIGNAL PROCESSING IN ROBOT MANIPULATORS: MATHEMATICAL FRAMEWORKS AND APPLICATIONS | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | Peer-reviewed Article |
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