{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T22:26:53Z","timestamp":1774823213892,"version":"3.50.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T00:00:00Z","timestamp":1720483200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T00:00:00Z","timestamp":1720483200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Natural Science Basic Research Program of Shaanxi","award":["2023-JC-YB-299"],"award-info":[{"award-number":["2023-JC-YB-299"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022M712933"],"award-info":[{"award-number":["2022M712933"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51805437"],"award-info":[{"award-number":["51805437"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001779","name":"Monash University","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001779","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Teleoperation, which is a specific mode of human\u2013robot collaboration enabling a human operator to provide instructions and monitor the actions of the robot remotely, has proved beneficial for application to hazardous and unstructured manufacturing environments. Despite the design of a command channel from human operators to robots, most existing studies on teleoperation fail to focus on the design of the feedback channel from the robot to the human operator, which plays a crucial role in reducing the cognitive load, particularly in precise and concentrated manufacturing tasks. This paper focuses on designing a feedback channel for the cognitive interface between a human operator and a robot considering human cognition. Current studies on human\u2013robot cognitive interfaces in robot teleoperation are extensively surveyed. Further, the modalities of human cognition that foster understanding and transparency during teleoperation are identified. In addition, the human\u2013robot cognitive interface, which utilizes the proposed multi-modal feedback channel, is developed on a teleoperated robotic grasping system as a case study. Finally, a series of experiments based on different modal feedback channels are conducted to demonstrate the effectiveness of enhancing the performance of the teleoperated grasping of fragile products and reducing the cognitive load via the objective aspects of experimental results and the subjective aspects of operator feedback.<\/jats:p>","DOI":"10.1007\/s10845-024-02451-x","type":"journal-article","created":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T10:02:08Z","timestamp":1720519328000},"page":"4283-4303","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Design of multi-modal feedback channel of human\u2013robot cognitive interface for teleoperation in manufacturing"],"prefix":"10.1007","volume":"36","author":[{"given":"Chen","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Kangning","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shiqi","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Zhanxi","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9711-3380","authenticated-orcid":false,"given":"Yunlong","family":"Tang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,9]]},"reference":[{"issue":"18","key":"2451_CR1","doi-asserted-by":"publisher","first-page":"6232","DOI":"10.3390\/app10186232","volume":"10","author":"L Almeida","year":"2020","unstructured":"Almeida, L., Menezes, P., & Dias, J. (2020). Interface transparency issues in teleoperation. Applied Sciences, 10(18), 6232. https:\/\/doi.org\/10.3390\/app10186232","journal-title":"Applied Sciences"},{"key":"2451_CR2","doi-asserted-by":"publisher","first-page":"012042","DOI":"10.1088\/1757-899X\/288\/1\/012042","volume":"288","author":"D Anggraeni","year":"2018","unstructured":"Anggraeni, D., Sanjaya, W. S. M., Nurasyidiek, M. Y. S., & Munawwaroh, M. (2018). The implementation of speech recognition using mel-frequency cepstrum coefficients (MFCC) and support vector machine (SVM) method based on Python to control robot arm. IOP Conference Series: Materials Science and Engineering, 288, 012042. https:\/\/doi.org\/10.1088\/1757-899X\/288\/1\/012042","journal-title":"IOP Conference Series: Materials Science and Engineering"},{"issue":"2","key":"2451_CR3","doi-asserted-by":"publisher","first-page":"937","DOI":"10.3390\/app12020937","volume":"12","author":"J Arents","year":"2022","unstructured":"Arents, J., & Greitans, M. (2022). Smart industrial robot control trends, challenges and opportunities within manufacturing. Applied Sciences, 12(2), 937. https:\/\/doi.org\/10.3390\/app12020937","journal-title":"Applied Sciences"},{"issue":"7","key":"2451_CR4","doi-asserted-by":"publisher","first-page":"533","DOI":"10.17705\/1jais.00204","volume":"10","author":"J Baker","year":"2009","unstructured":"Baker, J., Jones, D., & Burkman, J. (2009). Using visual representations of data to enhance sensemaking in data exploration tasks. Journal of the Association for Information Systems, 10(7), 533\u2013559. https:\/\/doi.org\/10.17705\/1jais.00204","journal-title":"Journal of the Association for Information Systems"},{"issue":"2","key":"2451_CR5","doi-asserted-by":"publisher","first-page":"42","DOI":"10.3390\/robotics8020042","volume":"8","author":"M Bandala","year":"2019","unstructured":"Bandala, M., West, C., Monk, S., Montazeri, A., & Taylor, C. J. (2019). Vision-based assisted tele-operation of a dual-arm hydraulically actuated robot for pipe cutting and grasping in nuclear environments. Robotics, 8(2), 42. https:\/\/doi.org\/10.3390\/robotics8020042","journal-title":"Robotics"},{"key":"2451_CR6","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1016\/j.promfg.2020.10.087","volume":"51","author":"B Bejczy","year":"2020","unstructured":"Bejczy, B., Bozyil, R., Vai\u010dekauskas, E., Krogh Petersen, S. B., B\u00f8gh, S., Hjorth, S. S., & Hansen, E. B. (2020). Mixed reality interface for improving mobile manipulator teleoperation in contamination critical applications. Procedia Manufacturing, 51, 620\u2013626. https:\/\/doi.org\/10.1016\/j.promfg.2020.10.087","journal-title":"Procedia Manufacturing"},{"issue":"16","key":"2451_CR7","doi-asserted-by":"publisher","first-page":"7104","DOI":"10.3390\/s23167104","volume":"23","author":"A Brassetti","year":"2023","unstructured":"Brassetti, A., Ragusa, A., Tedesco, F., Prata, F., Cacciatore, L., Iannuzzi, A., et al. (2023). Robotic surgery in urology: History from PROBOT\u00ae to HUGOTM. Sensors, 23(16), 7104. https:\/\/doi.org\/10.3390\/s23167104","journal-title":"Sensors"},{"issue":"12","key":"2451_CR8","doi-asserted-by":"publisher","first-page":"4113","DOI":"10.3390\/s21124113","volume":"21","author":"A Castro","year":"2021","unstructured":"Castro, A., Silva, F., & Santos, V. (2021). Trends of human\u2013robot collaboration in industry contexts: handover, learning, and metrics. Sensors, 21(12), 4113. https:\/\/doi.org\/10.3390\/s21124113","journal-title":"Sensors"},{"issue":"11","key":"2451_CR9","doi-asserted-by":"publisher","first-page":"1317","DOI":"10.3390\/electronics10111317","volume":"10","author":"A Chac\u00f3n","year":"2021","unstructured":"Chac\u00f3n, A., Ponsa, P., & Angulo, C. (2021). Cognitive interaction analysis in human\u2013robot collaboration using an assembly task. Electronics, 10(11), 1317. https:\/\/doi.org\/10.3390\/electronics10111317","journal-title":"Electronics"},{"key":"2451_CR10","doi-asserted-by":"publisher","unstructured":"Chamorro, S., Collier, J., & Grondin, F. (2021). Neural Network Based Lidar Gesture Recognition for Realtime Robot Teleoperation. In 2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) (pp. 98\u2013103). IEEE. https:\/\/doi.org\/10.1109\/SSRR53300.2021.9597855","DOI":"10.1109\/SSRR53300.2021.9597855"},{"issue":"3","key":"2451_CR11","doi-asserted-by":"publisher","first-page":"1706","DOI":"10.1109\/TRO.2023.3236952","volume":"39","author":"K Darvish","year":"2023","unstructured":"Darvish, K., Penco, L., Ramos, J., Cisneros, R., Pratt, J., Yoshida, E., et al. (2023). Teleoperation of Humanoid Robots: A Survey. IEEE Transactions on Robotics, 39(3), 1706\u20131727. https:\/\/doi.org\/10.1109\/TRO.2023.3236952","journal-title":"IEEE Transactions on Robotics"},{"key":"2451_CR12","doi-asserted-by":"publisher","first-page":"104145","DOI":"10.1016\/j.autcon.2022.104145","volume":"136","author":"R Ding","year":"2022","unstructured":"Ding, R., Cheng, M., Han, Z., Wang, F., & Xu, B. (2022). Human-machine interface for a master-slave hydraulic manipulator with vision enhancement and auditory feedback. Automation in Construction, 136, 104145. https:\/\/doi.org\/10.1016\/j.autcon.2022.104145","journal-title":"Automation in Construction"},{"issue":"2","key":"2451_CR13","doi-asserted-by":"publisher","first-page":"36","DOI":"10.5772\/50093","volume":"9","author":"G Du","year":"2012","unstructured":"Du, G., Zhang, P., Mai, J., & Li, Z. (2012). Markerless kinect-based hand tracking for robot teleoperation. International Journal of Advanced Robotic Systems, 9(2), 36. https:\/\/doi.org\/10.5772\/50093","journal-title":"International Journal of Advanced Robotic Systems"},{"key":"2451_CR14","doi-asserted-by":"publisher","unstructured":"Ehsan, U., Harrison, B., Chan, L., & Riedl, M. O. (2018). Rationalization. In Proceedings of the 2018 AAAI\/ACM Conference on AI, Ethics, and Society (pp. 81\u201387). ACM. https:\/\/doi.org\/10.1145\/3278721.3278736","DOI":"10.1145\/3278721.3278736"},{"issue":"6","key":"2451_CR15","doi-asserted-by":"publisher","first-page":"654","DOI":"10.26599\/TST.2018.9010096","volume":"24","author":"B Fang","year":"2019","unstructured":"Fang, B., Wei, X., Sun, F., Huang, H., Yu, Y., & Liu, H. (2019). Skill learning for human\u2013robot interaction using wearable device. Tsinghua Science and Technology, 24(6), 654\u2013662. https:\/\/doi.org\/10.26599\/TST.2018.9010096","journal-title":"Tsinghua Science and Technology"},{"issue":"3","key":"2451_CR16","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1007\/s00170-020-05363-1","volume":"108","author":"R Gervasi","year":"2020","unstructured":"Gervasi, R., Mastrogiacomo, L., & Franceschini, F. (2020). A conceptual framework to evaluate human\u2013robot collaboration. The International Journal of Advanced Manufacturing Technology, 108(3), 841\u2013865. https:\/\/doi.org\/10.1007\/s00170-020-05363-1","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"issue":"2","key":"2451_CR17","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/s10845-021-01887-9","volume":"33","author":"X Huang","year":"2022","unstructured":"Huang, X., Halwani, M., Muthusamy, R., Ayyad, A., Swart, D., Seneviratne, L., et al. (2022). Real-time grasping strategies using event camera. Journal of Intelligent Manufacturing, 33(2), 593\u2013615. https:\/\/doi.org\/10.1007\/s10845-021-01887-9","journal-title":"Journal of Intelligent Manufacturing"},{"key":"2451_CR18","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.cogr.2021.06.001","volume":"1","author":"M Javaid","year":"2021","unstructured":"Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2021). Substantial capabilities of robotics in enhancing industry 4.0 implementation. Cognitive Robotics, 1, 58\u201375. https:\/\/doi.org\/10.1016\/j.cogr.2021.06.001","journal-title":"Cognitive Robotics"},{"key":"2451_CR19","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2024.3372126","author":"S Jeong","year":"2024","unstructured":"Jeong, S., Kim, J., & Lee, J. (2024). The differential effects of multisensory attentional cues on task performance in VR depending on the level of cognitive load and cognitive capacity. IEEE Transactions on Visualization and Computer Graphics. https:\/\/doi.org\/10.1109\/TVCG.2024.3372126","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"issue":"1\u20134","key":"2451_CR20","doi-asserted-by":"publisher","first-page":"1239","DOI":"10.1007\/s00170-019-03403-z","volume":"103","author":"W Ji","year":"2019","unstructured":"Ji, W., & Wang, L. (2019). Industrial robotic machining: A review. The International Journal of Advanced Manufacturing Technology, 103(1\u20134), 1239\u20131255. https:\/\/doi.org\/10.1007\/s00170-019-03403-z","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"2451_CR21","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-023-02137-w","author":"A Keshvarparast","year":"2023","unstructured":"Keshvarparast, A., Battini, D., Battaia, O., & Pirayesh, A. (2023). Collaborative robots in manufacturing and assembly systems: Literature review and future research agenda. Journal of Intelligent Manufacturing. https:\/\/doi.org\/10.1007\/s10845-023-02137-w","journal-title":"Journal of Intelligent Manufacturing"},{"key":"2451_CR22","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.heares.2014.03.010","volume":"312","author":"T Koelewijn","year":"2014","unstructured":"Koelewijn, T., Shinn-Cunningham, B. G., Zekveld, A. A., & Kramer, S. E. (2014). The pupil response is sensitive to divided attention during speech processing. Hearing Research, 312, 114\u2013120. https:\/\/doi.org\/10.1016\/j.heares.2014.03.010","journal-title":"Hearing Research"},{"issue":"1","key":"2451_CR23","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1080\/21693277.2019.1645628","volume":"7","author":"A Kolbeinsson","year":"2019","unstructured":"Kolbeinsson, A., Lagerstedt, E., & Lindblom, J. (2019). Foundation for a classification of collaboration levels for human\u2013robot cooperation in manufacturing. Production & Manufacturing Research, 7(1), 448\u2013471. https:\/\/doi.org\/10.1080\/21693277.2019.1645628","journal-title":"Production & Manufacturing Research"},{"issue":"8","key":"2451_CR24","doi-asserted-by":"publisher","first-page":"2853","DOI":"10.1007\/s10845-018-1416-9","volume":"30","author":"XTR Kong","year":"2019","unstructured":"Kong, X. T. R., Luo, H., Huang, G. Q., & Yang, X. (2019). Industrial wearable system: The human-centric empowering technology in Industry 4.0. Journal of Intelligent Manufacturing, 30(8), 2853\u20132869. https:\/\/doi.org\/10.1007\/s10845-018-1416-9","journal-title":"Journal of Intelligent Manufacturing"},{"key":"2451_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-023-02150-z","author":"H Kou","year":"2023","unstructured":"Kou, H., Shi, H., & Zhao, H. (2023). Subspace and second-order statistical distribution alignment for cross-domain recognition of human hand motions. Journal of Intelligent Manufacturing. https:\/\/doi.org\/10.1007\/s10845-023-02150-z","journal-title":"Journal of Intelligent Manufacturing"},{"key":"2451_CR26","doi-asserted-by":"publisher","first-page":"102510","DOI":"10.1016\/j.rcim.2022.102510","volume":"81","author":"S Li","year":"2023","unstructured":"Li, S., Zheng, P., Liu, S., Wang, Z., Wang, X. V., Zheng, L., & Wang, L. (2023). Proactive human\u2013robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives. Robotics and Computer-Integrated Manufacturing, 81, 102510. https:\/\/doi.org\/10.1016\/j.rcim.2022.102510","journal-title":"Robotics and Computer-Integrated Manufacturing"},{"key":"2451_CR27","doi-asserted-by":"publisher","first-page":"109903","DOI":"10.1016\/j.cie.2024.109903","volume":"188","author":"M Liu","year":"2024","unstructured":"Liu, M., Lv, J., Du, S., Deng, Y., Shen, X., & Zhou, Y. (2024). Multi-resource constrained flexible job shop scheduling problem with fixture-pallet combinatorial optimisation. Computers & Industrial Engineering, 188, 109903. https:\/\/doi.org\/10.1016\/j.cie.2024.109903","journal-title":"Computers & Industrial Engineering"},{"issue":"3","key":"2451_CR28","doi-asserted-by":"publisher","first-page":"172988141985140","DOI":"10.1177\/1729881419851402","volume":"16","author":"R Liu","year":"2019","unstructured":"Liu, R., & Zhang, X. (2019). A review of methodologies for natural-language-facilitated human\u2013robot cooperation. International Journal of Advanced Robotic Systems, 16(3), 172988141985140. https:\/\/doi.org\/10.1177\/1729881419851402","journal-title":"International Journal of Advanced Robotic Systems"},{"key":"2451_CR29","doi-asserted-by":"publisher","unstructured":"Mahmud, S., Lin, X., & Kim, J.-H. (2020). Interface for Human Machine Interaction for assistant devices: A Review. In 2020 10th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0768\u20130773). IEEE. https:\/\/doi.org\/10.1109\/CCWC47524.2020.9031244","DOI":"10.1109\/CCWC47524.2020.9031244"},{"key":"2451_CR30","doi-asserted-by":"publisher","first-page":"103973","DOI":"10.1016\/j.robot.2021.103973","volume":"150","author":"M Moniruzzaman","year":"2022","unstructured":"Moniruzzaman, M., Rassau, A., Chai, D., & Islam, S. M. S. (2022). Teleoperation methods and enhancement techniques for mobile robots: A comprehensive survey. Robotics and Autonomous Systems, 150, 103973. https:\/\/doi.org\/10.1016\/j.robot.2021.103973","journal-title":"Robotics and Autonomous Systems"},{"key":"2451_CR31","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1007\/978-3-031-21967-2_56","volume-title":"Multimodal approach to measuring cognitive load using Sternberg memory and input diagrammatic reasoning tests","author":"PZ Muke","year":"2022","unstructured":"Muke, P. Z., Telec, Z., & Trawi\u0144ski, B. (2022). Multimodal approach to measuring cognitive load using Sternberg memory and input diagrammatic reasoning tests (pp. 693\u2013713). Springer. https:\/\/doi.org\/10.1007\/978-3-031-21967-2_56"},{"issue":"S2","key":"2451_CR32","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1007\/s00521-017-3028-2","volume":"31","author":"MK Mustafa","year":"2019","unstructured":"Mustafa, M. K., Allen, T., & Appiah, K. (2019). A comparative review of dynamic neural networks and hidden Markov model methods for mobile on-device speech recognition. Neural Computing and Applications, 31(S2), 891\u2013899. https:\/\/doi.org\/10.1007\/s00521-017-3028-2","journal-title":"Neural Computing and Applications"},{"key":"2451_CR33","doi-asserted-by":"publisher","unstructured":"Naceri, A., Mazzanti, D., Bimbo, J., Prattichizzo, D., Caldwell, D. G., Mattos, L. S., & Deshpande, N. (2019). Towards a Virtual Reality Interface for Remote Robotic Teleoperation. In 2019 19th International Conference on Advanced Robotics (ICAR) (pp. 284\u2013289). IEEE. https:\/\/doi.org\/10.1109\/ICAR46387.2019.8981649","DOI":"10.1109\/ICAR46387.2019.8981649"},{"issue":"1","key":"2451_CR34","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/s10845-021-01796-x","volume":"33","author":"H Nguyen Ngoc","year":"2022","unstructured":"Nguyen Ngoc, H., Lasa, G., & Iriarte, I. (2022). Human-centred design in industry 4.0: case study review and opportunities for future research. Journal of Intelligent Manufacturing, 33(1), 35\u201376. https:\/\/doi.org\/10.1007\/s10845-021-01796-x","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"7","key":"2451_CR35","doi-asserted-by":"publisher","first-page":"1609","DOI":"10.1007\/s10845-016-1196-z","volume":"28","author":"TA Nguyen","year":"2017","unstructured":"Nguyen, T. A., & Zeng, Y. (2017). Effects of stress and effort on self-rated reports in experimental study of design activities. Journal of Intelligent Manufacturing, 28(7), 1609\u20131622. https:\/\/doi.org\/10.1007\/s10845-016-1196-z","journal-title":"Journal of Intelligent Manufacturing"},{"key":"2451_CR36","doi-asserted-by":"publisher","first-page":"102167","DOI":"10.1016\/j.rcim.2021.102167","volume":"71","author":"Y Pan","year":"2021","unstructured":"Pan, Y., Chen, C., Li, D., Zhao, Z., & Hong, J. (2021). Augmented reality-based robot teleoperation system using RGB-D imaging and attitude teaching device. Robotics and Computer-Integrated Manufacturing, 71, 102167. https:\/\/doi.org\/10.1016\/j.rcim.2021.102167","journal-title":"Robotics and Computer-Integrated Manufacturing"},{"issue":"1","key":"2451_CR37","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1109\/TFUZZ.2016.2566676","volume":"25","author":"S Qiu","year":"2017","unstructured":"Qiu, S., Li, Z., He, W., Zhang, L., Yang, C., & Su, C.-Y. (2017). Brain-machine interface and visual compressive sensing-based teleoperation control of an exoskeleton robot. IEEE Transactions on Fuzzy Systems, 25(1), 58\u201369. https:\/\/doi.org\/10.1109\/TFUZZ.2016.2566676","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"2","key":"2451_CR38","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1007\/s10648-019-09461-9","volume":"31","author":"S Sepp","year":"2019","unstructured":"Sepp, S., Howard, S. J., Tindall-Ford, S., Agostinho, S., & Paas, F. (2019). Cognitive load theory and human movement: Towards an integrated model of working memory. Educational Psychology Review, 31(2), 293\u2013317. https:\/\/doi.org\/10.1007\/s10648-019-09461-9","journal-title":"Educational Psychology Review"},{"issue":"3\u20134","key":"2451_CR39","doi-asserted-by":"publisher","first-page":"1077","DOI":"10.1007\/s00170-020-05997-1","volume":"111","author":"JE Solanes","year":"2020","unstructured":"Solanes, J. E., Mu\u00f1oz, A., Gracia, L., Mart\u00ed, A., Girb\u00e9s-Juan, V., & Tornero, J. (2020). Teleoperation of industrial robot manipulators based on augmented reality. The International Journal of Advanced Manufacturing Technology, 111(3\u20134), 1077\u20131097. https:\/\/doi.org\/10.1007\/s00170-020-05997-1","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"2451_CR40","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2023.1084000","author":"H Su","year":"2023","unstructured":"Su, H., Qi, W., Chen, J., Yang, C., Sandoval, J., & Laribi, M. A. (2023). Recent advancements in multimodal human\u2013robot interaction. Frontiers in Neurorobotics,. https:\/\/doi.org\/10.3389\/fnbot.2023.1084000","journal-title":"Frontiers in Neurorobotics,"},{"key":"2451_CR41","doi-asserted-by":"publisher","first-page":"102332","DOI":"10.1016\/j.rcim.2022.102332","volume":"77","author":"Y Su","year":"2022","unstructured":"Su, Y., Chen, X., Zhou, T., Pretty, C., & Chase, G. (2022). Mixed reality-integrated 3D\/2D vision mapping for intuitive teleoperation of mobile manipulator. Robotics and Computer-Integrated Manufacturing, 77, 102332. https:\/\/doi.org\/10.1016\/j.rcim.2022.102332","journal-title":"Robotics and Computer-Integrated Manufacturing"},{"issue":"2","key":"2451_CR42","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/s10648-019-09465-5","volume":"31","author":"J Sweller","year":"2019","unstructured":"Sweller, J., van Merri\u00ebnboer, J. J. G., & Paas, F. (2019). Cognitive architecture and instructional design: 20 years later. Educational Psychology Review, 31(2), 261\u2013292. https:\/\/doi.org\/10.1007\/s10648-019-09465-5","journal-title":"Educational Psychology Review"},{"key":"2451_CR43","doi-asserted-by":"publisher","DOI":"10.3389\/feduc.2021.705551","author":"M Thees","year":"2021","unstructured":"Thees, M., Kapp, S., Altmeyer, K., Malone, S., Br\u00fcnken, R., & Kuhn, J. (2021). Comparing two subjective rating scales assessing cognitive load during technology-enhanced STEM laboratory courses. Frontiers in Education. https:\/\/doi.org\/10.3389\/feduc.2021.705551","journal-title":"Frontiers in Education"},{"issue":"21","key":"2451_CR44","doi-asserted-by":"publisher","first-page":"7075","DOI":"10.3390\/s21217075","volume":"21","author":"CC Wang","year":"2021","unstructured":"Wang, C. C., Wang, M., Sun, J., & Mojtahedi, M. (2021). A safety warning algorithm based on axis aligned bounding box method to prevent onsite accidents of mobile construction machineries. Sensors, 21(21), 7075. https:\/\/doi.org\/10.3390\/s21217075","journal-title":"Sensors"},{"key":"2451_CR45","doi-asserted-by":"publisher","DOI":"10.1002\/aisy.202300359","author":"T Wang","year":"2023","unstructured":"Wang, T., Zheng, P., Li, S., & Wang, L. (2023). Multimodal human\u2013robot interaction for human-centric smart manufacturing: A survey. Advanced Intelligent Systems. https:\/\/doi.org\/10.1002\/aisy.202300359","journal-title":"Advanced Intelligent Systems"},{"key":"2451_CR46","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-023-02096-2","author":"W Yang","year":"2023","unstructured":"Yang, W., Xiao, Q., & Zhang, Y. (2023). HA$$R^{2}$$bot: A human-centered augmented reality robot programming method with the awareness of cognitive load. Journal of Intelligent Manufacturing. https:\/\/doi.org\/10.1007\/s10845-023-02096-2","journal-title":"Journal of Intelligent Manufacturing"},{"key":"2451_CR47","doi-asserted-by":"publisher","unstructured":"Yashin, G. A., Trinitatova, D., Agishev, R. T., Ibrahimov, R., & Tsetserukou, D. (2019). AeroVr: Virtual Reality-based Teleoperation with Tactile Feedback for Aerial Manipulation. In 2019 19th International Conference on Advanced Robotics (ICAR) (pp. 767\u2013772). IEEE. https:\/\/doi.org\/10.1109\/ICAR46387.2019.8981574","DOI":"10.1109\/ICAR46387.2019.8981574"},{"key":"2451_CR48","doi-asserted-by":"publisher","DOI":"10.16910\/jemr.7.4.4","author":"M Yu","year":"2014","unstructured":"Yu, M., Lin, Y., Schmidt, D., Wang, X., & Wang, Y. (2014). Human\u2013robot interaction based on gaze gestures for the drone teleoperation. Journal of Eye Movement Research. https:\/\/doi.org\/10.16910\/jemr.7.4.4","journal-title":"Journal of Eye Movement Research"},{"issue":"2","key":"2451_CR49","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1007\/s10845-021-01802-2","volume":"34","author":"C Zhao","year":"2023","unstructured":"Zhao, C., Du, S., Lv, J., Deng, Y., & Li, G. (2023a). A novel parallel classification network for classifying three-dimensional surface with point cloud data. Journal of Intelligent Manufacturing, 34(2), 515\u2013527. https:\/\/doi.org\/10.1007\/s10845-021-01802-2","journal-title":"Journal of Intelligent Manufacturing"},{"key":"2451_CR50","doi-asserted-by":"publisher","first-page":"108911","DOI":"10.1016\/j.cie.2022.108911","volume":"175","author":"C Zhao","year":"2023","unstructured":"Zhao, C., Lui, C. F., Du, S., Wang, D., & Shao, Y. (2023b). An earth mover\u2019s distance based multivariate generalized likelihood ratio control chart for effective monitoring of 3D point cloud surface. Computers & Industrial Engineering, 175, 108911. https:\/\/doi.org\/10.1016\/j.cie.2022.108911","journal-title":"Computers & Industrial Engineering"},{"key":"2451_CR51","doi-asserted-by":"publisher","first-page":"111569","DOI":"10.1016\/j.measurement.2022.111569","volume":"199","author":"C Zhao","year":"2022","unstructured":"Zhao, C., Lv, J., & Du, S. (2022). Geometrical deviation modeling and monitoring of 3D surface based on multi-output Gaussian process. Measurement, 199, 111569. https:\/\/doi.org\/10.1016\/j.measurement.2022.111569","journal-title":"Measurement"},{"key":"2451_CR52","doi-asserted-by":"publisher","first-page":"101170","DOI":"10.1016\/j.aei.2020.101170","volume":"46","author":"T Zhou","year":"2020","unstructured":"Zhou, T., Zhu, Q., & Du, J. (2020). Intuitive robot teleoperation for civil engineering operations with virtual reality and deep learning scene reconstruction. Advanced Engineering Informatics, 46, 101170. https:\/\/doi.org\/10.1016\/j.aei.2020.101170","journal-title":"Advanced Engineering Informatics"},{"key":"2451_CR53","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.jmsy.2024.01.010","volume":"73","author":"Y Zhou","year":"2024","unstructured":"Zhou, Y., Du, S., Liu, M., & Shen, X. (2024). Machine-fixture-pallet resources constrained flexible job shop scheduling considering loading and unloading times under pallet automation system. Journal of Manufacturing Systems, 73, 143\u2013158. https:\/\/doi.org\/10.1016\/j.jmsy.2024.01.010","journal-title":"Journal of Manufacturing Systems"},{"key":"2451_CR54","doi-asserted-by":"publisher","first-page":"69204","DOI":"10.1109\/ACCESS.2023.3292410","volume":"11","author":"Y Zhu","year":"2023","unstructured":"Zhu, Y., Jiang, B., Chen, Q., Aoyama, T., & Hasegawa, Y. (2023). A shared control framework for enhanced grasping performance in teleoperation. IEEE Access, 11, 69204\u201369215. https:\/\/doi.org\/10.1109\/ACCESS.2023.3292410","journal-title":"IEEE Access"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-024-02451-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10845-024-02451-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-024-02451-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T14:47:48Z","timestamp":1752590868000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10845-024-02451-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,9]]},"references-count":54,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["2451"],"URL":"https:\/\/doi.org\/10.1007\/s10845-024-02451-x","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,9]]},"assertion":[{"value":"13 March 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 June 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 July 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}