The Use of Artificial Intelligence with Mechanisms in Robots in the Linkage of the Manufacturing Industry: Systematic Literature Review

Armando Tirta Dwilaga

Abstract


This paper aims to provide an overview of the literature by looking at the use of artificial intelligence with robotic mechanisms in the manufacturing industry. The PRISMA method approach is used in a modified framework to take into account the inclusion and exclusion criteria, one of the bases for selection is the basic understanding of artificial intelligence technology obtained from the Scopus index database only for 2020, 2021, and 2022. The results were from 1178 articles to 481 contiguous articles until the selection of 36 articles. The journal description used as the most common reference of Frontiers in Robotics and AI was used to identify these papers in more depth, the most common journal publisher was Frontiers Media S.A, Italy was the most common country of origin found, and quantitative research was the most common methodology used. Research in 2020, 2021, and even 2022 is still a fraction of what is now being discussed, but the last three years have seen significant growth in discussions on this topic, creating tremendous opportunities for additional studies.


Full Text:

PDF

References


E. I. Supriyadi and D. B. Asih, “Implementasi Artificial Intelligence (AI) di Bidang Administrasi Publik pada Era Revolusi Industri 4.0,” URNAL SOSIAL DAN HUMANIORA UNIVERSITAS MUHAMMADIYAH BANDUNG, vol. 2, no. 2, pp. 12–23, 2020.

M. S. Y. Lubis, “IMPLEMENTASI ARTIFICIAL INTELLIGENCE PADA SYSTEM MANUFAKTUR TERPADU,” SEMNASTEK UISU, pp. 1–7, 2021.

R. Mubarak, “Implementasi Artificial Intelligence Dalam Proses Industri Manufaktur Otomotif,” Jurnal Ilmu Komputer JIK, vol. 3, no. 2, pp. 10–15, 2020.

M. A. Ghufron, “REVOLUSI INDUSTRI 4.0: TANTANGAN, PELUANG DAN SOLUSI BAGI DUNIA PENDIDIKAN,” Seminar Nasional dan Diskusi Panel Multidisiplin Hasil Penelitian & Pengabdian kepada Masyarakat, pp. 332–337, 2018.

M. B. Kurniawan and R. Pambudi, “Robot Pembeda Warna Berbasis Mikrokontroler Atmega328,” ACADEMIA, vol. 1, no. 1, pp. 1–10, 2018.

B. Pranoto and A. Firdaus, “Rancang Bangun Lengan Robot dengan Sistem Kontrol Otomatis dan Human Machine Interface untuk Mesin Operasional Industri Manufaktur,” JURNAL ENERGI DAN TEKNOLOGI MANUFAKTUR(JETM), vol. 4, no. 1, pp. 13–16, 2021, [Online]. Available: http://jetm.polinema.ac.id/

E. Zulfikar, “Melihat Kesiapan Indonesia Memasuki Industri 4.0,” in Tempo publishing, vol. 1, no. 2, 2019, pp. 439–443.

A. T. Dwilaga, “IMPLEMENTASI MODEL ARTIFICIAL INTELLIGENCE DALAM WAREHOUSE: SYSTEMATIC LITERATURE REVIEW,” Jurnal Sistem dan Teknik Industri, vol. 3, no. 2, pp. 253–261, 2022.

H. Giberti, T. Abbattista, M. Carnevale, L. Giagu, and F. Cristini, “A Methodology for Flexible Implementation of Collaborative Robots in Smart Manufacturing Systems,” Robotics, vol. 11, no. 1, pp. 1–13, Feb. 2022, doi: 10.3390/robotics11010009.

M. Bottin, G. Boschetti, and G. Rosati, “Optimizing Cycle Time of Industrial Robotic Tasks with Multiple Feasible Configurations at the Working Points,” Robotics, vol. 11, no. 1, pp. 1–15, Jan. 2022, doi: 10.3390/robotics11010016.

K. Ohara, R. Iwazawa, and M. Kaneko, “Modeling and Analysis of a High-Speed Adjustable Grasping Robot Controlled by a Pneumatic Actuator,” Robotics, vol. 11, no. 1, pp. 1–16, Jan. 2022, doi: 10.3390/robotics11010027.

M. Dobiš, M. Dekan, P. Beňo, F. Duchoň, and A. Babinec, “Evaluation Criteria for Trajectories of Robotic Arms,” Robotics, vol. 11, no. 1, pp. 1–24, Jan. 2022, doi: 10.3390/robotics11010029.

Y. Maddahi and K. Zareinia, “An Analysis of Power Consumption of Fluid-Driven Robotic Arms Using Isotropy Index: A Proof-of-Concept Simulation-Based Study,” Robotics, vol. 11, no. 2, pp. 1–15, Apr. 2022, doi: 10.3390/robotics11020032.

A. Al-Ibadi, K. A. Abbas, M. Al-Atwani, and H. Al-Fahaam, “Design, Implementation, and Kinematics of a Twisting Robot Continuum Arm Inspired by Human Forearm Movements,” Robotics, vol. 11, no. 3, pp. 1–22, Jun. 2022, doi: 10.3390/robotics11030055.

T. Bright, S. Adali, and G. Bright, “Low-Cost Sensory Glove for Human–Robot Collaboration in Advanced Manufacturing Systems,” Robotics, vol. 11, no. 3, pp. 1–23, Jun. 2022, doi: 10.3390/robotics11030056.

C. Alves et al., “Human–Robot Interaction in Industrial Settings: Perception of Multiple Participants at a Crossroad Intersection Scenario with Different Courtesy Cues,” Robotics, vol. 11, no. 3, pp. 1–14, May 2022, doi: 10.3390/robotics11030059.

M. Davoodi, A. Iqbal, J. M. Cloud, W. J. Beksi, and N. R. Gans, “Safe Robot Trajectory Control Using Probabilistic Movement Primitives and Control Barrier Functions,” Front Robot AI, vol. 9, Mar. 2022, doi: 10.3389/frobt.2022.772228.

M. Foughali and A. Zuepke, “Formal Verification of Real-Time Autonomous Robots: An Interdisciplinary Approach,” Front Robot AI, vol. 9, Apr. 2022, doi: 10.3389/frobt.2022.791757.

N. Elangovan, C. M. Chang, G. Gao, and M. Liarokapis, “An Accessible, Open-Source Dexterity Test: Evaluating the Grasping and Dexterous Manipulation Capabilities of Humans and Robots,” Front Robot AI, vol. 9, Apr. 2022, doi: 10.3389/frobt.2022.808154.

M. Alles and E. Aljalbout, “Learning to Centralize Dual-Arm Assembly,” Front Robot AI, vol. 9, Mar. 2022, doi: 10.3389/frobt.2022.830007.

O. Mangin, A. Roncone, and B. Scassellati, “How to be Helpful? Supportive Behaviors and Personalization for Human-Robot Collaboration,” Front Robot AI, vol. 8, pp. 1–16, Feb. 2022, doi: 10.3389/frobt.2021.725780.

P. Arko and M. Jezeršek, “Automatic Calibration of the Adaptive 3D Scanner-Based Robot Welding System,” Front Robot AI, vol. 9, May 2022, doi: 10.3389/frobt.2022.876717.

D. Magallán-Ramírez, J. D. Martínez-Aguilar, A. Rodríguez-Tirado, D. Balderas, E. O. López-Caudana, and C. F. Moreno-García, “Implementation of NAO Robot Maze Navigation Based on Computer Vision and Collaborative Learning,” Front Robot AI, vol. 9, Apr. 2022, doi: 10.3389/frobt.2022.834021.

P. Righettini, R. Strada, and F. Cortinovis, “robotics Modal Kinematic Analysis of a Parallel Kinematic Robot with Low-Stiffness Transmissions,” Robotics, vol. 10, no. 132, pp. 1–22, 2021, doi: 10.3390/robotics.

C. Getson and G. Nejat, “Socially assistive robots helping older adults through the pandemic and life after covid‐19,” Robotics, vol. 10, no. 3. MDPI, pp. 1–23, Sep. 01, 2021. doi: 10.3390/robotics10030106.

G. Boiadjiev, E. Krastev, I. Chavdarov, and L. Miteva, “A novel, oriented to graphs model of robot arm dynamics,” Robotics, vol. 10, no. 4, pp. 1–21, Dec. 2021, doi: 10.3390/robotics10040128.

C. Nentwich and G. Reinhart, “A method for health indicator evaluation for condition monitoring of industrial robot gears,” Robotics, vol. 10, no. 2, pp. 1–20, Jun. 2021, doi: 10.3390/robotics10020080.

R. M. Fisher et al., “An overview of verification and validation challenges for inspection,” Robotics, vol. 10, no. 2, pp. 1–29, 2021, doi: 10.3390/robotics10020067.

M. Valori et al., “Validating safety in human–robot collaboration: Standards and new perspectives,” Robotics, vol. 10, no. 2, pp. 1–20, 2021, doi: 10.3390/robotics10020065.

L. Hao, R. Pagani, M. Beschi, and G. Legnani, “Dynamic and friction parameters of an industrial robot: Identification, comparison and repetitiveness analysis,” Robotics, vol. 10, no. 1, Mar. 2021, doi: 10.3390/robotics10010049.

M. Wonsick, P. Long, A. Ö. Önol, M. Wang, and T. Padır, “A Holistic Approach to Human-Supervised Humanoid Robot Operations in Extreme Environments,” Front Robot AI, vol. 8, pp. 1–22, Jun. 2021, doi: 10.3389/frobt.2021.550644.

Z. Iqbal, M. Pozzi, D. Prattichizzo, and G. Salvietti, “Detachable Robotic Grippers for Human-Robot Collaboration,” Front Robot AI, vol. 8, pp. 1–9, Jun. 2021, doi: 10.3389/frobt.2021.644532.

J. Sun, J. P. King, and N. S. Pollard, “Characterizing Continuous Manipulation Families for Dexterous Soft Robot Hands,” Front Robot AI, vol. 8, pp. 1–16, Apr. 2021, doi: 10.3389/frobt.2021.645290.

C. Cuan, “OUTPUT: Choreographed and Reconfigured Human and Industrial Robot Bodies Across Artistic Modalities,” Front Robot AI, vol. 7, pp. 1–13, Apr. 2021, doi: 10.3389/frobt.2020.576790.

Z. Wang, H. Furuta, S. Hirai, and S. Kawamura, “A Scooping-Binding Robotic Gripper for Handling Various Food Products,” Front Robot AI, vol. 8, pp. 1–13, Mar. 2021, doi: 10.3389/frobt.2021.640805.

C. M. Mateo, J. A. Corrales, and Y. Mezouar, “Hierarchical, Dense and Dynamic 3D Reconstruction Based on VDB Data Structure for Robotic Manipulation Tasks,” Front Robot AI, vol. 7, Feb. 2021, doi: 10.3389/frobt.2020.600387.

S. Drolshagen, M. Pfingsthorn, P. Gliesche, and A. Hein, “Acceptance of Industrial Collaborative Robots by People with Disabilities in Sheltered Workshops,” Front Robot AI, vol. 7, pp. 1–17, Jan. 2021, doi: 10.3389/frobt.2020.541741.

R. Mengacci, G. Zambella, G. Grioli, D. Caporale, M. G. Catalano, and A. Bicchi, “An Open-Source ROS-Gazebo Toolbox for Simulating Robots with Compliant Actuators,” Front Robot AI, vol. 8, p. 17, Aug. 2021, doi: 10.3389/frobt.2021.713083.

A. Arntz, S. C. Eimler, and H. U. Hoppe, “A Virtual Sandbox Approach to Studying the Effect of Augmented Communication on Human-Robot Collaboration,” Front Robot AI, vol. 8, pp. 1–17, Oct. 2021, doi: 10.3389/frobt.2021.728961.

F. Simone, G. Rizzello, S. Seelecke, and P. Motzki, “A Soft Five-Fingered Hand Actuated by Shape Memory Alloy Wires: Design, Manufacturing, and Evaluation,” Front Robot AI, vol. 7, pp. 1–17, Dec. 2020, doi: 10.3389/frobt.2020.608841.

M. Anvaripour, M. Khoshnam, C. Menon, and M. Saif, “FMG- and RNN-Based Estimation of Motor Intention of Upper-Limb Motion in Human-Robot Collaboration,” Front Robot AI, vol. 7, pp. 1–13, Dec. 2020, doi: 10.3389/frobt.2020.573096.

R. Smith, E. Cucco, and C. Fairbairn, “Robotic development for the nuclear environment: Challenges and strategy,” Robotics, vol. 9, no. 4, pp. 1–16, Dec. 2020, doi: 10.3390/robotics9040094.

G. Carabin and L. Scalera, “On the trajectory planning for energy efficiency in industrial robotic systems,” Robotics, vol. 9, no. 4, pp. 1–13, Dec. 2020, doi: 10.3390/robotics9040089.

C. Raksiri, K. Pa-im, and S. Rodkwan, “An analysis of joint assembly geometric errors affecting end-effector for six-axis robots,” Robotics, vol. 9, no. 2, Jun. 2020, doi: 10.3390/ROBOTICS9020027.

S. Hopko, J. Wang, and R. Mehta, “Human Factors Considerations and Metrics in Shared Space Human-Robot Collaboration: A Systematic Review,” Frontiers in Robotics and AI, vol. 9. Frontiers Media S.A., pp. 1–15, Feb. 03, 2022. doi: 10.3389/frobt.2022.799522.




DOI: http://dx.doi.org/10.24014/sitekin.v20i2.21730

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 SITEKIN: Jurnal Sains, Teknologi dan Industri




Editorial Address:
FAKULTAS SAINS DAN TEKNOLOGI
UIN SULTAN SYARIF KASIM RIAU

Kampus Raja Ali Haji
Gedung Fakultas Sains & Teknologi UIN Suska Riau
Jl.H.R.Soebrantas No.155 KM 18 Simpang Baru Panam, Pekanbaru 28293
Email: sitekin@uin-suska.ac.id
© 2023 SITEKIN, ISSN 2407-0939

SITEKIN Journal Indexing:

Google Scholar | Garuda | Moraref | IndexCopernicus | SINTA


Creative Commons License
SITEKIN by http://ejournal.uin-suska.ac.id/index.php