Open Access
Issue
ITM Web Conf.
Volume 76, 2025
Harnessing Innovation for Sustainability in Computing and Engineering Solutions (ICSICE-2025)
Article Number 05011
Number of page(s) 9
Section Emerging Technologies & Computing
DOI https://doi.org/10.1051/itmconf/20257605011
Published online 25 March 2025
  1. Adams, R., Lee, D., & Griffiths, S. (2022). A user-centered approach to human-robot collaboration in manufacturing environments. International Journal of Robotics Research, 41(3), 314–328. https://doi.org/10.1177/0278364922108478 [Google Scholar]
  2. Khan, A. H., Shah, S. S., & Ahmed, R. (2023). Designing intuitive interfaces for human-robot interaction in automated manufacturing systems. Journal of Manufacturing Processes, 85, 467–480. https://doi.org/10.1016/j.jmapro.2022.11.013 [Google Scholar]
  3. Murphy, R. R., & Clarke, M. (2021). Collaborative robotics: Improving safety and efficiency in manufacturing environments. IEEE Transactions on Automation Science and Engineering, 18(2), 520–531. https://doi.org/10.1109/TASE.2020.3035096 [Google Scholar]
  4. Schrauf, M., & Wu, X. (2024). Enhancing human-robot interaction in smart factories using advanced sensors and AI. Robotics and Computer-Integrated Manufacturing, 72, 102160. https://doi.org/10.1016/j.rcim.2021.102160 [Google Scholar]
  5. Jiang, H., & Zhang, J. (2021). Design and evaluation of human-robot interfaces in collaborative manufacturing systems. Automation in Construction, 126, 103592. https://doi.org/10.1016/j.autcon.2021.103592 [Google Scholar]
  6. Agarwal, P., & Kumar, A. (2022). Implementing intuitive interfaces for effective human-robot collaboration in production lines. Journal of Manufacturing Science and Engineering, 144(1), 011014. https://doi.org/10.1115/1.4050001 [Google Scholar]
  7. Wang, L., & Zhang, L. (2023). A review of human-robot interaction in collaborative manufacturing: Challenges and future perspectives. Advanced Robotics, 37(5), 266–282. https://doi.org/10.1080/01691864.2023.2180142 [Google Scholar]
  8. Morita, K., & Kobayashi, Y. (2024). Cognitive models for human-robot interaction in collaborative manufacturing tasks. Industrial Robot: An International Journal, 51(6), 800–810. https://doi.org/10.1108/IR-06-2023-0149 [Google Scholar]
  9. Martínez, J. A., & Pérez, R. (2021). Developing intuitive control interfaces for human-robot collaboration in assembly lines. Journal of Intelligent Manufacturing, 32(4), 1121–1135. https://doi.org/10.1007/s10845-020-01591-4 [Google Scholar]
  10. Tariq, H., & Latif, M. (2023). Human-robot interaction in collaborative manufacturing: The role of augmented reality interfaces. Robotics and Autonomous Systems, 168, 103810. https://doi.org/10.1016/j.robot.2022.103810 [Google Scholar]
  11. Doh, S. H., & Yoon, H. S. (2022). Human-robot interface design in manufacturing: Enhancing collaboration and task performance. Procedia CIRP, 99, 511–516. https://doi.org/10.1016/j.procir.2022.01.142 [Google Scholar]
  12. Liu, S., & Luo, J. (2024). Smart human-robot interfaces: Optimizing communication in industrial environments. International Journal of Advanced Manufacturing Technology, 124(9), 2747–2763. https://doi.org/10.1007/s00170-022-08667-2 [Google Scholar]
  13. Gómez, R., & Cabrera, D. (2021). Interaction design for industrial collaborative robots in automated production. IEEE Access, 9, 97356–97371. https://doi.org/10.1109/ACCESS.2021.3095204 [Google Scholar]
  14. Möller, S., & Melchior, C. (2023). Collaborative robot interfaces for human-robot interaction in manufacturing systems. IFAC-PapersOnLine, 56(1), 1523–1528. https://doi.org/10.1016/j.ifacol.2023.02.085 [Google Scholar]
  15. Rajendran, A., & Kumar, S. (2022). Designing effective human-robot interaction for collaborative tasks in industrial applications. Journal of Robotics and Mechatronics, 34(5), 925–938. https://doi.org/10.20965/jrm.2022.p0925 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.