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

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Intelligent Manufacturing and Mechatronics (iM3F 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 850))

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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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References

  1. Reddy CE, Padayachee J, Bright G (2021) Development and analysis of reconfigurable robotic end-effector for machining and part handling. S Afr J Ind Eng 32(1):1–14. https://doi.org/10.7166/32-1-2293

    Article  Google Scholar 

  2. Gnanavel R, Vinod D, Nalini MK, Dhinakaran K, Elantamilan D (2022) Evaluation and design of robotic hand picking operations using intelligent motor unit. In: 2022 international conference on advances in computing, communication and applied informatics (ACCAI)

    Google Scholar 

  3. Abdulmalek S, Nasir A, Jabbar WA, Almuhaya MAM, Bairagi AK, Khan MA-M, Kee S-H (2022) IoT-based healthcare-monitoring system towards improving quality of life: a review. Healthcare 10:1993

    Google Scholar 

  4. Meena J, Sunil Kumar TK, Amal TR (2021) Design and implementation of a multi-purpose end-effector tool for industrial robot. In: 2021 international symposium of Asian control association on intelligent robotics and industrial automation (IRIA)

    Google Scholar 

  5. Ulyanov S (2020) Intelligent robust control of redundant smart robotic arm Pt II: quantum computing KB optimizer. Adv Industr Autom 2(2):1–16. https://doi.org/10.30564/AIA.V2I2.1395

    Article  Google Scholar 

  6. Rosli AM, Jamaludin AS, Razali MN, Sani AS, Hamzah SB, Osman MS (2019) Modelling of fuzzy inference system for micro milling—a preliminary study through FEM. Lecture notes in mechanical engineering, 445–456

    Google Scholar 

  7. Sidik MM, Ghani SC, Padzi MM (2019) Development of a wireless surface electromyography (SEMG) signal acquisition device for power-assisted wheelchair system. Int J Eng Adv Technol 8(6):3414–3418

    Article  Google Scholar 

  8. Ligutan DD, Bandala AA, Española JL, Tan Ai RJ, Vicerra RR, Dadios EJ (2021) Design of a 3D-printed three-claw robotic gripper end-effector. ASEAN Eng J 11:70–79

    Article  Google Scholar 

  9. Jamaludin AS, Hosokawa A, Furumoto T, Koyano T, Hashimoto Y (2017) Evaluation of the minimum quantity lubrication in orthogonal cutting with the application of finite element method. Int J Mech Mechatronic Eng IJMME-IJENS 17(01):104–109

    Google Scholar 

  10. Mohadzir NF, Rosli AM, Jamaludin AS, Md Razali MN (2020) In-situ worn geometry effect over the surface roughness propagation during micro milling process. J Mod Manuf Syst Technol 4:1–7

    Google Scholar 

  11. Divyanth LG, Soni P, Pareek CM, Machavaram R, Nadimi M, Paliwal J (2022) Detection of coconut clusters based on occlusion condition using attention-guided faster R-CNN for robotic harvesting. Foods 11(23):3903. https://doi.org/10.3390/foods11233903

    Article  Google Scholar 

  12. May Shian HL, Syed Kamarudin SN, Ishak I, Jamaludin AS, Abdul Manaf AR, Mohd Zawawi MZ (2021) Laser-assisted thermal imprinting of glass guided mode resonant (GMR) optical filter. J Mod Manuf Syst Technol 5:63–70

    Google Scholar 

  13. Babu D, Nasir A, Ravindran, Farag M, Jabbar WA (2023) 3D printed prosthetic robot arm with grasping detection system for children. Int J Adv Sci Eng Inf Technol 13

    Google Scholar 

  14. Abe T, Kawasaki Y, Yamazaki K (2020) A robotic end-effector with rolling up mechanism for pick-and-release of a cotton sheet. Robomech J 7:28. https://doi.org/10.1186/s40648-020-00186-x

    Article  Google Scholar 

  15. Abidin ANSZ, Azmi AH, Kassim KAA, Jamaludin AS, Razali MNM (2022) A review on automotive tires significant characteristic identification for general consumers. In: Proceedings of the 2nd energy security and chemical engineering congress, 375–385

    Google Scholar 

  16. Binti Kamarudin SN, Lee H, Ishak I, Manaf AR, Jamaludin AS, Shaharudin MA, Zawawi MZ (2021) Rapid direct continuous method for hot embossing of Glass microlens array combined with CO2 laser irradiation and external preheating/cooling. Lecture notes in mechanical engineering, 669–675

    Google Scholar 

  17. Abdulmalek S, Nasir A, Jabbar WA, Almuhaya MA, Bairagi AK, Khan M-M, Kee S-H (2022) IOT-based healthcare-monitoring system towards improving quality of life: a review. Healthcare 10:1993

    Article  Google Scholar 

  18. Jamaludin AS, Yassin A (2013) Analysis of laser sintered materials using finite element method. Sains Malaysiana 42(12):1727–1733

    Google Scholar 

  19. Baharuddin NJ, Abdul Manaf AR, Jamaludin AS (2022) Study on die shoulder patterning method (DSPM) to minimise springback of U-bending. Int J Autom Mech Eng 19:9509–9518

    Google Scholar 

  20. Almeida S, Mo J, Bil C, Ding S, Wang X (2021) Conceptual design of a high-speed wire EDM robotic end-effector based on a systematic review followed by TRIZ. Machines 9(7):132. https://doi.org/10.3390/MACHINES9070132

    Article  Google Scholar 

  21. Rosli AM, Jamaludin AS, Mohd Razali MN, Akira H, Furumoto T, Osman MS (2019) Bold approach in finite element simulation on minimum quantity lubrication effect during machining. J Mod Manuf Syst Technol 2:33–41

    Google Scholar 

  22. Farag M, Ghafar ANA, Alsibai MH (2019) Real-time robotic grasping and localization using deep learning-based object detection technique. In: 2019 IEEE international conference on automatic control and intelligent systems (I2CACIS)

    Google Scholar 

  23. Simango D, Mushiri T, Yahya A, Majumder M (2021) Machine learning based robotic end effector system for monitoring and control of external bleeding of vehicle accident victims. Rev Pap Comput Intell Mach Learn 2(2):1–13. https://doi.org/10.36647/ciml/02.02

    Article  Google Scholar 

  24. Sidik MM, Ghani SC, Ishak M, Harun WSW, Daud N (2018) A review on electric wheelchair innovation to ease mobility and as a rehabilitation tool for spinal cord impairment patient. Int J Eng Technol 10(3):803–815

    Article  Google Scholar 

  25. Alisha E, Najwa N, Jamaludin AS, Razali MN, Saffe SNBM (2022) Analysis on auger pump performance during handling high viscous liquid. J Mod Manuf Syst Technol 6:48–54

    Google Scholar 

  26. Zhang F, Chen Z, Wang Y, Bao R, Chen X, Fu S, Tian M, Zhang Y (2023) Research on flexible end-effectors with humanoid grasp function for small spherical fruit picking. Agriculture 13(1):123. https://doi.org/10.3390/agriculture13010123

    Article  Google Scholar 

  27. Babu D, Nasir A, Jamaludin AS, Rosle MH (2021) Holding, grasping and sensing of prosthetic robot arm like a real human hand, a journey beyond limits: an extensive review. In: Human-centered technology for a better tomorrow, 485–504

    Google Scholar 

  28. Sun L, Wang B, Huang S, Li J, Fang L (2022) Improving machining accuracy for a robotic arm with hybrid kinematic chains based on deformation characteristics. Int J Adv Manuf Technol 121:3539–3550

    Article  Google Scholar 

  29. Jamali A, Mat Darus IZ, Mohd Samin PP, Tokhi MO (2018) Intelligent modeling of double link flexible robotic manipulator using artificial neural network. J Vibroengineering 20:1021–1034

    Article  Google Scholar 

  30. Jamaludin AS, Zainal Abidin AN, Roslan A, Shahril R, Hakimi Azmi A, Abdullah NA, Mohd Jawi Z, Abu Kassim KA (2021) Malaysian road traffic crash data: Where do we stand now. J Mod Manuf Syst Technol 5:88–94

    Google Scholar 

  31. Keong ML, Jamaludin AS, Razali MN, Abidin ANZ, Yasin MR (2020) Modelling of PID speed control based collision avoidance system. J Mod Manuf Syst Technol 4:66–72

    Google Scholar 

  32. Halim J, Eichler P, Krusche S, Bdiwi M, Ihlenfeldt S (2022) No-code robotic programming for agile production: a new markerless-approach for multimodal natural interaction in a human-robot collaboration context. Front Robot AI. https://doi.org/10.3389/frobt.2022.1001955

    Article  Google Scholar 

  33. Yin F, Wu S, Huang H, Cui C, Ji Q (2022) Effect of machining trajectory on grinding force of complex-shaped stone by robotic manipulator. Machines 10:787

    Article  Google Scholar 

  34. Ahmad AR, Lin C-Y, Shah SH, Cheng Y-S (2023) Design of a compliant robotic end-effector tool for normal contact estimation. IEEE Sens J 23:1515–1526

    Article  Google Scholar 

  35. Almeida S, Mo J, Ding S, Bil C (2022) Control design of a reciprocating high-speed wire feed system for 7-axis robotic electric discharge machining. Int J Adv Manuf Technol 121:6877–6905

    Article  Google Scholar 

  36. Md Kamil NH, Jamaludin AS, Mhd Razali MN, Ghaffar AN (2022) Temperature and heat flow analysis in a drying chamber through finite element method. Lecture notes in mechanical engineering, 309–316

    Google Scholar 

  37. Baharuddin NJ, Manaf ARA, Jamaludin AS (2023) Study of springback behavior on U-bending part using die shoulder patterning method (DSPM). AIP Conf Proc 2544(1):040020

    Google Scholar 

  38. Guerra-Zubiaga D, Block L, Ricketts A, Faile J, Dickson C (2021) A new approach to develop an intelligent robotic gripper using virtual tools implementing IIoT and ML technologies, vol 2B. In: Advanced manufacturing

    Google Scholar 

  39. Zainudin MF, Jamaludin AS, Mohamad Yasin MR (2022) Effect of the current and pressure on weld strength for IBS rebar machine. J Mod Manuf Syst Technol 6:1–6

    Google Scholar 

  40. Ali MA, Sivarao AZ, Izamshah R, Kassim MS, Jamaludin AS (2022) Multi-response optimization of machining simulation approach using grey relational analysis. Lecture notes in mechanical engineering, 154–157

    Google Scholar 

  41. Atalla Y, Hashim Y, Ghafar AN (2022) The impact of channel fin width on electrical characteristics of Si-FinFET. Int J Electr Comput Eng (IJECE) 12:201

    Google Scholar 

  42. Jamaludin AS, Akira H, Furumoto T, Koyano T, Hashimoto Y (2018) High precision estimation on physical behavior for cutting with various tool rake angle by finite element method. Lecture notes in mechanical engineering, 715–723

    Google Scholar 

  43. Lee H, Binti Kamarudin SN, Ishak I, Manaf AR, Jamaludin AS, Shaharudin MA, Zawawi MZ (2021) Feasibility Study of wafer scale laser assisted thermal imprinting of glass nanostructures. Lecture notes in mechanical engineering, 917–923

    Google Scholar 

  44. Abdullah NA, Abdullah FF, Sufian AH, Abidin AN, Jamaludin AS, Razali MN (2022) Effect of degradation by temperature onto nitrile rubber elastomer mechanical properties. Mater Today Proc 48:1941–1946

    Article  Google Scholar 

  45. Babu D, Nasir A, Farag M, Sidik MH, Rejab SB (2022) Development of prosthetic robotic arm with patient monitoring system for disabled children; preliminary results. In: 2022 9th international conference on electrical and electronics engineering (ICEEE)

    Google Scholar 

  46. Jamaludin AS, Zainal Abidin AN, Muhd Razali MN, Roslan A, Shahril R, Mohd Jawi Z, Abu Kassim KA (2021) Potential application of artificial neural network (ANN) analysis method on Malaysian road crash data. J Mod Manuf Syst Technol 5:95–105

    Google Scholar 

  47. Rosli AM, Jamil N, Jamaludin AS, Razali MN, Yusoff AR (2021) Tool wear observation during unconventional low speed machining using low cost micromilling. Lecture notes in mechanical engineering, 589–597

    Google Scholar 

  48. Yun Qi C, Mohd Razali MN, Jamaludin AS, Ahmad Mokhtar AR, Hamzah SB, Osman MS (2019) Surface texturing potential on carbide insert in reducing aluminium alloy adhesiveness during machining. J Mod Manuf Syst Technol 2:42–50

    Google Scholar 

  49. Sufian AH, Xun TZ, Abidin AN, Jamaludin AS, Razali MN (2021) Study on tire tread design effect onto tire-road contact behavior through FEM. Lecture notes in mechanical engineering, 893–902

    Google Scholar 

  50. Jamaludin AS, Razali MN, Jasman N, Ghafar AN, Hadi MA (2020) Design of spline surface vacuum gripper for pick and place robotic arms. J Mod Manuf Syst Technol 4:48–55

    Google Scholar 

  51. Jamaludin AS, Hosokawa A, Furumoto T, Koyano T, Hashimoto Y (2018) Study on the effectiveness of extreme cold mist MQL system on turning process of stainless steel AISI 316. IOP Conf Ser Mater Sci Eng 319:012054

    Google Scholar 

  52. Ramli MR, Razak NA, Ismail I, Jamaludin AS, Manaf AR (2022) Effect of dimple size onto wear rate of mild steel AISI 1060 surface. Lecture notes in mechanical engineering, 99–102

    Google Scholar 

  53. Rosli AM, Jamaludin AS, Razali MNM (2021) Recent study on hard to machine material—micromilling process. Evergreen 8:445–453

    Google Scholar 

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Acknowledgements

The authors would like to thank University Malaysia Pahang Al-Sultan Abdullah for providing financial support and laboratory facilities under Research Development Grant Scheme (RDU) No. 210317 and Postgraduate Research Grant Scheme (PGRS) No. 210336.

Author information

Authors and Affiliations

  1. Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600, Pekan, Pahang, Malaysia

    Abdul Nasir Abd. Ghafar & Devin Babu

  2. Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600, Pekan, Pahang, Malaysia

    Mohd Hanafi Muhammad Sidik

  3. Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, 02600, Perlis, Malaysia

    Muhammad Hisyam Rosle

  4. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600, Pekan, Pahang, Malaysia

    Nurul Najwa Ruzlan

Authors
  1. Abdul Nasir Abd. Ghafar
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  2. Devin Babu
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  3. Mohd Hanafi Muhammad Sidik
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  4. Muhammad Hisyam Rosle
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  5. Nurul Najwa Ruzlan
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Corresponding author

Correspondence to Abdul Nasir Abd. Ghafar .

Editor information

Editors and Affiliations

  1. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Malaysia

    Wan Hasbullah Mohd. Isa

  2. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Malaysia

    Ismail Mohd. Khairuddin

  3. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Malaysia

    Mohd. Azraai Mohd. Razman

  4. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Malaysia

    Sarah 'Atifah Saruchi

  5. School of Intelligent Manufacturing Ecosystem, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Sze-Hong Teh

  6. Department of Computer Science, University of York, York, UK

    Pengcheng Liu

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Abd. Ghafar, A.N., Babu, D., Sidik, M.H.M., Rosle, M.H., Ruzlan, N.N. (2024). Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions. In: Mohd. Isa, W.H., Khairuddin, I.M., Mohd. Razman, M.A., Saruchi, S.'., Teh, SH., Liu, P. (eds) Intelligent Manufacturing and Mechatronics. iM3F 2023. Lecture Notes in Networks and Systems, vol 850. Springer, Singapore. https://doi.org/10.1007/978-981-99-8819-8_7

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

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  • Online ISBN: 978-981-99-8819-8

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