Integrating Advanced Control Strategies for Enhanced Motor Efficiency in Robotics
Author(s): Priyanka Das
Publication #: 2501052
Date of Publication: 25.12.2024
Country: United States
Pages: 1-5
Published In: Volume 10 Issue 6 December-2024
DOI: https://doi.org/10.5281/zenodo.14631891
Abstract
Motor efficiency requires diversified paradigm integration to facilitate the advancement of robotics applications through precision, energy optimization, and reliability. Advanced control strategies like AI-driven predictive mechanisms, harmonic drive systems, and real-time feedback tools in motor performance underline the efficiency required in robotic technologies. As a collective role for robotic motors, the approaches enable precise torque and speed modulation, dynamic adaptability to environmental changes, and energy-efficient operation in controlled strategies. Understanding theoretical foundations in motor efficiency guides decisions on the selection and implementation of robotic technologies in the automation of industrial and manufacturing processes. Comparative robotic role analyses pinpoint optimization for the technology to harness dynamic responsiveness and energy utilization efficiency. The ways to implement advanced motor controls underscore the potential of combining intelligent algorithms with innovative motor designs to elevate robotics reliance in complex situations. The advanced control strategies showcase the need for efficiency, adaptability, and relevance of robotic solutions in trending technological applications.
Keywords: motor efficiency, predictive control, robotics, dynamic adaptability, intelligent algorithms
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