Safe human–robot collaboration for industrial settings: a survey
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-023-02159-4.pdf
Reference122 articles.
1. Abdelaziz, O., Luo, M., Jiang, G., & Chen, S. (2020). Adaptive threshold for robot manipulator collision detection using fuzzy system. SN Applied Sciences, 2(3), 319. https://doi.org/10.1007/s42452-020-2110-z
2. Aeini, A., Droudian, E., Ghanbarzadeh, A., & Najafi, E. (2021). Design of an intelligent control system for safe collaboration between human and a robotic manipulator. In Proceedings of 2021 9th RSI international conference on robotics and mechatronics (ICRoM) (pp. 335–340). https://doi.org/10.1109/ICRoM54204.2021.9663503
3. Amaya-Mejía, L. M., Duque-Su’arez, N., Jaramillo-Ram’irez, D., & Martínez, C. (2022). Vision-based safety system for barrierless human–robot collaboration. In Proceedings of 2022 IEEE/RSJ international conference on intelligent robots and systems (IROS) (pp. 7331–7336). https://doi.org/10.1109/IROS47612.2022.9981689
4. Amin, F. M., Rezayati, M., Venn, H. W., & Karimpour, H. (2020). A mixed-perception approach for safe human–robot collaboration in industrial automation. Sensors, 20(21), 1–20. https://doi.org/10.3390/s20216347
5. Bdiwi, M., Al Naser, I., Halim, J., Bauer, S., Eichler, P., & Ihlenfeldt, S. (2022b). Towards safety 4.0: A novel approach for flexible human–robot-interaction based on safety-related dynamic finite-state machine with multilayer operation modes. Frontiers in Robotics and AI. https://doi.org/10.3389/frobt.2022.1002226
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