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Erschienen in:
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2024 | OriginalPaper | Buchkapitel

Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions

verfasst von : Abdul Nasir Abd. Ghafar, Devin Babu, Mohd Hanafi Muhammad Sidik, Muhammad Hisyam Rosle, Nurul Najwa Ruzlan

Erschienen in: Intelligent Manufacturing and Mechatronics

Verlag: Springer Nature Singapore

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Abstract

This review paper delves into the advancements brought about by Industry 4.0 in the realm of intelligent machining systems for robotic end-effectors. Robotic end-effectors, which are the devices at the end of a robotic arm, have seen significant enhancements in their design, development, and application across various sectors, from manufacturing to healthcare. The integration of intelligent machining systems into these end-effectors has augmented their efficiency, precision, and flexibility. The paper also highlights the role of intelligent control systems in boosting the performance of these robotic systems. Despite the progress, challenges persist, such as improving machining accuracy, optimizing machining trajectories, and integrating machine learning techniques. The review concludes by identifying gaps in the current research and suggests potential areas for future exploration to further enhance the capabilities of robotic end-effectors.

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Metadaten
Titel
Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions
verfasst von
Abdul Nasir Abd. Ghafar
Devin Babu
Mohd Hanafi Muhammad Sidik
Muhammad Hisyam Rosle
Nurul Najwa Ruzlan
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
Buch
Intelligent Manufacturing and Mechatronics

Print ISBN: 978-981-9988-18-1

Electronic ISBN: 978-981-9988-19-8

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-981-99-8819-8_7

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