Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions
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 applica...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Singapore
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41196/ http://umpir.ump.edu.my/id/eprint/41196/1/Intelligent%20Machining%20Systems%20for%20Robotic%20End-Effectors_%20State-of-the-Art%20and%20Toward%20Future%20Directions.pdf http://umpir.ump.edu.my/id/eprint/41196/2/Intelligent%20Machining%20Systems%20for%20Robotic%20End-Effectors_%20State-of-the-Art%20and%20Toward%20Future%20Directions%20ALL.pdf |
| _version_ | 1848826264699273216 |
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| author | Abdul Nasir, Abd Ghafar Babu, Devin Mohd Hanafi, Muhammad Sidik Muhammad Hisyam, Rosle Nurul Najwa, Ruzlan |
| author_facet | Abdul Nasir, Abd Ghafar Babu, Devin Mohd Hanafi, Muhammad Sidik Muhammad Hisyam, Rosle Nurul Najwa, Ruzlan |
| author_sort | Abdul Nasir, Abd Ghafar |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:42:04Z |
| format | Conference or Workshop Item |
| id | ump-41196 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:42:04Z |
| publishDate | 2024 |
| publisher | Springer Singapore |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-411962024-05-16T04:23:55Z http://umpir.ump.edu.my/id/eprint/41196/ Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions Abdul Nasir, Abd Ghafar Babu, Devin Mohd Hanafi, Muhammad Sidik Muhammad Hisyam, Rosle Nurul Najwa, Ruzlan TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures 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. Springer Singapore 2024 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41196/1/Intelligent%20Machining%20Systems%20for%20Robotic%20End-Effectors_%20State-of-the-Art%20and%20Toward%20Future%20Directions.pdf pdf en http://umpir.ump.edu.my/id/eprint/41196/2/Intelligent%20Machining%20Systems%20for%20Robotic%20End-Effectors_%20State-of-the-Art%20and%20Toward%20Future%20Directions%20ALL.pdf Abdul Nasir, Abd Ghafar and Babu, Devin and Mohd Hanafi, Muhammad Sidik and Muhammad Hisyam, Rosle and Nurul Najwa, Ruzlan (2024) Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions. In: Intelligent Manufacturing and Mechatronics, Lecture Notes in Networks and Systems. 4th International conference on Innovative Manufacturing, Mechatronics and Materials Forum, iM3F2023 , 07 – 08 August 2023 , Pekan, Malaysia. pp. 83-93., 850. ISSN 2367-3389 ISBN 978-981-99-8819-8 (Published) https://doi.org/10.1007/978-981-99-8819-8_7 |
| spellingShingle | TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Abdul Nasir, Abd Ghafar Babu, Devin Mohd Hanafi, Muhammad Sidik Muhammad Hisyam, Rosle Nurul Najwa, Ruzlan Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions |
| title | Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions |
| title_full | Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions |
| title_fullStr | Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions |
| title_full_unstemmed | Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions |
| title_short | Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions |
| title_sort | intelligent machining systems for robotic end-effectors: state-of-the-art and toward future directions |
| topic | TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/41196/ http://umpir.ump.edu.my/id/eprint/41196/ http://umpir.ump.edu.my/id/eprint/41196/1/Intelligent%20Machining%20Systems%20for%20Robotic%20End-Effectors_%20State-of-the-Art%20and%20Toward%20Future%20Directions.pdf http://umpir.ump.edu.my/id/eprint/41196/2/Intelligent%20Machining%20Systems%20for%20Robotic%20End-Effectors_%20State-of-the-Art%20and%20Toward%20Future%20Directions%20ALL.pdf |