{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:14:13Z","timestamp":1740147253798,"version":"3.37.3"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32200890"],"award-info":[{"award-number":["32200890"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022M712791"],"award-info":[{"award-number":["2022M712791"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100016089","name":"National Key Laboratory of Human Factors Engineering","doi-asserted-by":"publisher","award":["HFNKL2023WW01","6142222210301"],"award-info":[{"award-number":["HFNKL2023WW01","6142222210301"]}],"id":[{"id":"10.13039\/100016089","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Intel Serv Robotics"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1007\/s11370-024-00554-1","type":"journal-article","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T15:02:38Z","timestamp":1722524558000},"page":"1005-1017","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Empowering robots with social cues: an initiative pose control framework for human\u2013robot interaction"],"prefix":"10.1007","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0846-1760","authenticated-orcid":false,"given":"Shuai","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoting","family":"Duan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gancheng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"You","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zehao","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongkai","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiguo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,1]]},"reference":[{"issue":"4","key":"554_CR1","doi-asserted-by":"publisher","first-page":"1800","DOI":"10.1109\/TASE.2020.2978917","volume":"17","author":"M Raessa","year":"2020","unstructured":"Raessa M, Chen J, Wan W, Harada K (2020) Human-in-the-loop robotic manipulation planning for collaborative assembly. IEEE Trans Autom Sci Eng 17(4):1800\u20131814","journal-title":"IEEE Trans Autom Sci Eng"},{"issue":"2","key":"554_CR2","doi-asserted-by":"publisher","first-page":"2017","DOI":"10.1016\/j.asej.2020.11.005","volume":"12","author":"P Biswal","year":"2021","unstructured":"Biswal P, Mohanty PK (2021) Development of quadruped walking robots: a review. Ain Shams Eng J 12(2):2017\u20132031","journal-title":"Ain Shams Eng J"},{"key":"554_CR3","doi-asserted-by":"crossref","unstructured":"Fong T, Thorpe C, Baur C (2003) Collaboration, dialogue, human-robot interaction. In: Robotics research: The tenth international symposium, pp. 255\u2013266. Springer","DOI":"10.1007\/3-540-36460-9_17"},{"key":"554_CR4","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.mechatronics.2018.09.005","volume":"55","author":"A Karami","year":"2018","unstructured":"Karami A, Sadeghian H, Keshmiri M, Oriolo G (2018) Hierarchical tracking task control in redundant manipulators with compliance control in the null-space. Mechatronics 55:171\u2013179","journal-title":"Mechatronics"},{"key":"554_CR5","doi-asserted-by":"crossref","unstructured":"Wang Z, Peer A, Buss M (2009) An HMM approach to realistic haptic human-robot interaction. In: World Haptics 2009-Third Joint EuroHaptics conference and symposium on haptic interfaces for virtual environment and teleoperator systems, pp. 374\u2013379. IEEE","DOI":"10.1109\/WHC.2009.4810835"},{"key":"554_CR6","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.conengprac.2018.06.005","volume":"78","author":"J Luis Gracia","year":"2018","unstructured":"Luis Gracia J, Solanes E, Munoz-Benavent P, Esparza A, Miro JV, Tornero J (2018) Cooperative transport tasks with robots using adaptive non-conventional sliding mode control. Control Eng Pract 78:35\u201355","journal-title":"Control Eng Pract"},{"issue":"1","key":"554_CR7","first-page":"129","volume":"20","author":"AR Abbasi Moshaei","year":"2020","unstructured":"Abbasi Moshaei AR, Mohammadi MM, Dehghan Neistanak V (2020) Analytical model of hand phalanges desired trajectory for rehabilitation and design a sliding mode controller based on this model. Modares Mech Eng 20(1):129\u2013137","journal-title":"Modares Mech Eng"},{"issue":"4","key":"554_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10846-021-01429-8","volume":"102","author":"S Li","year":"2021","unstructured":"Li S, Wang H, Zhang S (2021) Human-robot collaborative manipulation with the suppression of human-caused disturbance. J Intell Robot Syst 102(4):1\u201311","journal-title":"J Intell Robot Syst"},{"issue":"5","key":"554_CR9","doi-asserted-by":"publisher","first-page":"420","DOI":"10.3390\/biomimetics8050420","volume":"8","author":"A Abbasimoshaei","year":"2023","unstructured":"Abbasimoshaei A, Ravi AKC, Kern TA (2023) Development of a new control system for a rehabilitation robot using electrical impedance tomography and artificial intelligence. Biomimetics 8(5):420","journal-title":"Biomimetics"},{"issue":"1","key":"554_CR10","doi-asserted-by":"publisher","first-page":"43","DOI":"10.3390\/info11010043","volume":"11","author":"EB Onyeulo","year":"2020","unstructured":"Onyeulo EB, Gandhi V (2020) What makes a social robot good at interacting with humans? Information 11(1):43","journal-title":"Information"},{"key":"554_CR11","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.chb.2018.05.016","volume":"87","author":"AS Ghazali","year":"2018","unstructured":"Ghazali AS, Ham J, Barakova E, Markopoulos P (2018) The influence of social cues in persuasive social robots on psychological reactance and compliance. Comput Hum Behav 87:58\u201365","journal-title":"Comput Hum Behav"},{"key":"554_CR12","doi-asserted-by":"crossref","unstructured":"Mutlu B, Yamaoka F, Kanda T, Ishiguro H, Hagita N (2009) Nonverbal leakage in robots: communication of intentions through seemingly unintentional behavior. In: Proceedings of the 4th ACM\/IEEE international conference on Human robot interaction, pp. 69\u201376","DOI":"10.1145\/1514095.1514110"},{"issue":"3","key":"554_CR13","doi-asserted-by":"publisher","first-page":"5010","DOI":"10.1109\/LRA.2021.3068708","volume":"6","author":"NJ Hetherington","year":"2021","unstructured":"Hetherington NJ, Croft EA, Van der Loos MHF (2021) Hey robot, which way are you going? Nonverbal motion legibility cues for human-robot spatial interaction. IEEE Robot Autom Lett 6(3):5010\u20135015","journal-title":"IEEE Robot Autom Lett"},{"issue":"16","key":"554_CR14","doi-asserted-by":"publisher","first-page":"5413","DOI":"10.3390\/app10165413","volume":"10","author":"WH Lee","year":"2020","unstructured":"Lee WH, Park CH, Jang S, Cho H-K (2020) Design of effective robotic gaze-based social cueing for users in task-oriented situations: how to overcome in-attentional blindness? Appl Sci 10(16):5413","journal-title":"Appl Sci"},{"key":"554_CR15","doi-asserted-by":"publisher","first-page":"3","DOI":"10.3389\/fnbot.2012.00003","volume":"6","author":"J-D Boucher","year":"2012","unstructured":"Boucher J-D, Pattacini U, Lelong A, Bailly G, Elisei F, Fagel S, Dominey PF, Ventre-Dominey J (2012) I reach faster when i see you look: gaze effects in human-human and human-robot face-to-face cooperation. Front Neurorobot 6:3","journal-title":"Front Neurorobot"},{"key":"554_CR16","doi-asserted-by":"crossref","unstructured":"G\u00f6rner M, Haschke R, Ritter H, Zhang J (2019) Moveit! task constructor for task-level motion planning. In 2019 international conference on robotics and automation (ICRA), pp. 190\u2013196. IEEE","DOI":"10.1109\/ICRA.2019.8793898"},{"key":"554_CR17","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.cirpj.2018.05.003","volume":"22","author":"G Michalos","year":"2018","unstructured":"Michalos G, Spiliotopoulos J, Makris S, Chryssolouris G (2018) A method for planning human robot shared tasks. CIRP J Manuf Sci Technol 22:76\u201390","journal-title":"CIRP J Manuf Sci Technol"},{"key":"554_CR18","doi-asserted-by":"publisher","first-page":"104649","DOI":"10.1016\/j.conengprac.2020.104649","volume":"105","author":"S Li","year":"2020","unstructured":"Li S, Zhang S, Yan F, Wang H, Han K (2020) Task-based obstacle avoidance for uncertain targets based on semantic object matrix. Control Eng Pract 105:104649","journal-title":"Control Eng Pract"},{"issue":"11","key":"554_CR19","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/j.ifacol.2018.08.257","volume":"51","author":"A Casalino","year":"2018","unstructured":"Casalino A, Cividini F, Zanchettin AM, Piroddi L, Rocco P (2018) Human-robot collaborative assembly: a use-case application. IFAC-PapersOnLine 51(11):194\u2013199","journal-title":"IFAC-PapersOnLine"},{"issue":"1","key":"554_CR20","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/TASE.2019.2932150","volume":"18","author":"A Casalino","year":"2019","unstructured":"Casalino A, Zanchettin AM, Piroddi L, Rocco P (2019) Optimal scheduling of human-robot collaborative assembly operations with time petri nets. IEEE Trans Autom Sci Eng 18(1):70\u201384","journal-title":"IEEE Trans Autom Sci Eng"},{"key":"554_CR21","doi-asserted-by":"publisher","first-page":"103289","DOI":"10.1016\/j.robot.2019.103289","volume":"122","author":"B Lacerda","year":"2019","unstructured":"Lacerda B, Lima PU (2019) Petri net based multi-robot task coordination from temporal logic specifications. Robot Auton Syst 122:103289","journal-title":"Robot Auton Syst"},{"issue":"1","key":"554_CR22","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s10626-019-00300-1","volume":"30","author":"M Kloetzer","year":"2020","unstructured":"Kloetzer M, Mahulea C (2020) Path planning for robotic teams based on LTL specifications and petri net models. Discrete Event Dyn Syst 30(1):55\u201379","journal-title":"Discrete Event Dyn Syst"},{"key":"554_CR23","doi-asserted-by":"publisher","first-page":"102804","DOI":"10.1016\/j.asej.2024.102804","volume":"15","author":"G Gelen","year":"2024","unstructured":"Gelen G, \u0130\u00e7mez Y (2024) Task planning and formal control of robotic assembly systems: a petri net-based approach. Ain Shams Eng J 15:102804","journal-title":"Ain Shams Eng J"},{"key":"554_CR24","doi-asserted-by":"crossref","unstructured":"Paxton C, Barnoy Y, Katyal K, Arora R, Hager GD (2019) Visual robot task planning. In: 2019 international conference on robotics and automation (ICRA), pp. 8832\u20138838. IEEE","DOI":"10.1109\/ICRA.2019.8793736"},{"key":"554_CR25","doi-asserted-by":"crossref","unstructured":"Cao Z, Simon T, Wei S-E, Sheikh Y (2017) Realtime multi-person 2d pose estimation using part affinity fields. In: 2017 IEEE conference on computer vision and pattern recognition (CVPR), pp. 1302\u20131310","DOI":"10.1109\/CVPR.2017.143"},{"issue":"8","key":"554_CR26","doi-asserted-by":"publisher","first-page":"1333","DOI":"10.3390\/math8081333","volume":"8","author":"Y-S Tsai","year":"2020","unstructured":"Tsai Y-S, Hsu L-H, Hsieh Y-Z, Lin S-S (2020) The real-time depth estimation for an occluded person based on a single image and openpose method. Mathematics 8(8):1333\u20131353","journal-title":"Mathematics"},{"key":"554_CR27","doi-asserted-by":"crossref","unstructured":"Cui J, Zhang H, Han H, Shan S, Chen X (2018) Improving 2d face recognition via discriminative face depth estimation. In: 2018 international conference on biometrics (ICB), pp. 140\u2013147","DOI":"10.1109\/ICB2018.2018.00031"},{"key":"554_CR28","doi-asserted-by":"crossref","unstructured":"Yang T-Y, Chen Y-T, Lin Y-Y, Chuang Y-Y (2019) Fsa-net: learning fine-grained structure aggregation for head pose estimation from a single image. In: 2019 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp. 1087\u20131096","DOI":"10.1109\/CVPR.2019.00118"},{"issue":"4","key":"554_CR29","doi-asserted-by":"publisher","first-page":"1035","DOI":"10.1109\/TMM.2018.2866770","volume":"21","author":"H-W Hsu","year":"2019","unstructured":"Hsu H-W, Tung-Yu W, Wan S, Wong WH, Lee C-Y (2019) Quatnet: Quaternion-based head pose estimation with multiregression loss. IEEE Trans Multimed 21(4):1035\u20131046","journal-title":"IEEE Trans Multimed"},{"key":"554_CR30","unstructured":"Boumedine A, Bentaieb S, Ouamri A (2022) 3d face identification based on normal maps. In: International conference on advances in communication technology, computing and engineering, 05"},{"key":"554_CR31","first-page":"339","volume-title":"A complementary fusion strategy for RGB-D face recognition","author":"H Zheng","year":"2022","unstructured":"Zheng H, Wang W, Wen F, Liu P (2022) A complementary fusion strategy for RGB-D face recognition. Springer International Publishing, Cham, pp 339\u2013351"},{"key":"554_CR32","doi-asserted-by":"publisher","first-page":"2461","DOI":"10.1109\/TIFS.2021.3053458","volume":"16","author":"H Uppal","year":"2021","unstructured":"Uppal H, Sepas-Moghaddam A, Greenspan M, Etemad A (2021) Depth as attention for face representation learning. IEEE Trans Inf Forensics Secur 16:2461\u20132476","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"554_CR33","doi-asserted-by":"crossref","unstructured":"Uppal H, Sepas-Moghaddam A, Greenspan M, Etemad A (2021) Two-level attention-based fusion learning for RGB-D face recognition. In: 2020 25th international conference on pattern recognition (ICPR), pp. 10120\u201310127","DOI":"10.1109\/ICPR48806.2021.9412514"},{"key":"554_CR34","doi-asserted-by":"crossref","unstructured":"Uppal H, Sepas-Moghaddam A, Greenspan M, Etemad A (2021) Teacher-student adversarial depth hallucination to improve face recognition. In: 2021 IEEE\/CVF international conference on computer vision (ICCV), pp. 3651\u20133660","DOI":"10.1109\/ICCV48922.2021.00365"},{"key":"554_CR35","doi-asserted-by":"crossref","unstructured":"Goswami G, Bharadwaj S, Vatsa M, Singh R (2013) On RGB-D face recognition using kinect. In: 2013 IEEE sixth international conference on biometrics: theory, applications and systems (BTAS), pp. 1\u20136","DOI":"10.1109\/BTAS.2013.6712717"},{"issue":"11","key":"554_CR36","doi-asserted-by":"publisher","first-page":"1534","DOI":"10.1109\/TSMC.2014.2331215","volume":"44","author":"R Min","year":"2014","unstructured":"Min R, Kose N, Dugelay J-L (2014) Kinectfacedb: a kinect database for face recognition. IEEE Trans Syst Man Cybern Syst 44(11):1534\u20131548","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"554_CR37","doi-asserted-by":"crossref","unstructured":"Zhang J, Huang D, Wang Y, Sun J (2016) Lock3dface: a large-scale database of low-cost kinect 3d faces. In: 2016 International Conference on Biometrics (ICB), pp. 1\u20138","DOI":"10.1109\/ICB.2016.7550062"},{"key":"554_CR38","doi-asserted-by":"crossref","unstructured":"An I, Son M, Manocha D, Yoon S-E (2018) Reflection-aware sound source localization. In: 2018 IEEE international conference on robotics and automation (ICRA), pp. 66\u201373","DOI":"10.1109\/ICRA.2018.8461268"},{"issue":"4","key":"554_CR39","first-page":"1","volume":"17","author":"H Chen","year":"2020","unstructured":"Chen H, Liu C, Chen Q (2020) Efficient and robust approaches for three-dimensional sound source recognition and localization using humanoid robots sensor arrays. Int J Adv Rob Syst 17(4):1\u201314","journal-title":"Int J Adv Rob Syst"},{"key":"554_CR40","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-022-09747-2","author":"D Desai","year":"2022","unstructured":"Desai D, Mehendale N (2022) A review on sound source localization systems. Arch Comput Methods Eng. https:\/\/doi.org\/10.1007\/s11831-022-09747-2","journal-title":"Arch Comput Methods Eng"},{"key":"554_CR41","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.robot.2019.01.002","volume":"113","author":"F Grondin","year":"2018","unstructured":"Grondin F, Michaud F (2018) Lightweight and optimized sound source localization and tracking methods for open and closed microphone array configurations. Robot Auton Syst 113:63\u201380","journal-title":"Robot Auton Syst"},{"issue":"3","key":"554_CR42","doi-asserted-by":"publisher","first-page":"935","DOI":"10.1007\/s10846-018-0908-3","volume":"95","author":"D Gala","year":"2019","unstructured":"Gala D, Lindsay N, Sun L (2019) Realtime active sound source localization for unmanned ground robots using a self-rotational bi-microphone array. J Intell Robot Syst 95(3):935\u2013954","journal-title":"J Intell Robot Syst"},{"key":"554_CR43","doi-asserted-by":"crossref","unstructured":"Andra MB, Usagawa T (2020) Portable keyword spotting and sound source detection system design on mobile robot with mini microphone array. In: 2020 6th international conference on control, automation and robotics (ICCAR), pp. 170\u2013174","DOI":"10.1109\/ICCAR49639.2020.9108086"},{"key":"554_CR44","doi-asserted-by":"publisher","first-page":"40725","DOI":"10.1109\/ACCESS.2019.2905617","volume":"7","author":"C Pang","year":"2019","unstructured":"Pang C, Liu H, Li X (2019) Multitask learning of time-frequency CNN for sound source localization. IEEE Access 7:40725\u201340737","journal-title":"IEEE Access"},{"key":"554_CR45","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s12369-017-0426-7","volume":"10","author":"ZH Tan","year":"2018","unstructured":"Tan ZH, Thomsen NB (2018) isociobot: a multimodal interactive social robot. Int J Soc Robot 10:5\u201319","journal-title":"Int J Soc Robot"},{"issue":"3","key":"554_CR46","doi-asserted-by":"publisher","first-page":"1925","DOI":"10.1109\/TRO.2021.3118966","volume":"38","author":"I An","year":"2022","unstructured":"An I, Kwon Y, Yoon S (2022) Diffraction- and reflection-aware multiple sound source localization. IEEE Trans Rob 38(3):1925\u20131944","journal-title":"IEEE Trans Rob"},{"key":"554_CR47","doi-asserted-by":"publisher","first-page":"2656","DOI":"10.1109\/TASLP.2021.3100684","volume":"29","author":"Z Pan","year":"2021","unstructured":"Pan Z, Zhang M, Jibin W, Wang J, Li H (2021) Multi-tone phase coding of interaural time difference for sound source localization with spiking neural networks. IEEE\/ACM Trans Audio Speech Lang Process 29:2656\u20132670","journal-title":"IEEE\/ACM Trans Audio Speech Lang Process"},{"key":"554_CR48","doi-asserted-by":"crossref","unstructured":"Li C, Hao L, Cheng H, Nie X (2017) Research on motion planning system of service robot based on ROS. In: 2017 IEEE 7th annual international conference on cyber technology in automation, control, and intelligent systems (CYBER), pp. 205\u2013209","DOI":"10.1109\/CYBER.2017.8446559"},{"issue":"3","key":"554_CR49","first-page":"1755","volume":"10","author":"DE King","year":"2009","unstructured":"King DE (2009) Dlib-ml: a machine learning toolkit. J Mach Learn Res 10(3):1755\u20131758","journal-title":"J Mach Learn Res"},{"issue":"1","key":"554_CR50","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/s11370-021-00362-x","volume":"14","author":"S Li","year":"2021","unstructured":"Li S, Zhang S, Yan F, Xiong Y, Xie Z (2021) Grasp2hardness: fuzzy hardness inference of cylindrical objects for grasp force adjustment of force sensor-less robots. Intel Serv Robot 14(1):129\u2013141","journal-title":"Intel Serv Robot"},{"key":"554_CR51","doi-asserted-by":"crossref","unstructured":"Pan J, Sachin C, Dinesh M (2012) FCL: a general purpose library for collision and proximity queries. In: 2012 IEEE international conference on robotics and automation, pp. 3859\u20133866","DOI":"10.1109\/ICRA.2012.6225337"},{"key":"554_CR52","doi-asserted-by":"crossref","unstructured":"Rusu RB, Cousins S (2011) 3D is here: Point Cloud Library (PCL). In: IEEE international conference on robotics and automation (ICRA), Shanghai, China. IEEE","DOI":"10.1109\/ICRA.2011.5980567"},{"key":"554_CR53","unstructured":"Paszke A, Gross S, Massa F, Lerer A, Bradbury J, Chanan G, Killeen T, Lin Z, Gimelshein N, Antiga L, et\u00a0al. (2019) Pytorch: an imperative style, high-performance deep learning library. Advances in neural information processing systems, 32"},{"issue":"7","key":"554_CR54","doi-asserted-by":"publisher","first-page":"9218","DOI":"10.1109\/JSEN.2021.3054820","volume":"21","author":"T-M Wang","year":"2021","unstructured":"Wang T-M, Shih Z-C (2021) Measurement and analysis of depth resolution using active stereo cameras. IEEE Sens J 21(7):9218\u20139230","journal-title":"IEEE Sens J"},{"key":"554_CR55","unstructured":"Rozman Jaroslav. Smach-state machine. http:\/\/wiki.ros.org\/smach\/Tutorials"},{"issue":"4","key":"554_CR56","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/MRA.2010.938836","volume":"17","author":"J Bohren","year":"2010","unstructured":"Bohren J, Cousins S (2010) The smach high-level executive [ros news]. IEEE Robot Autom Mag 17(4):18\u201320","journal-title":"IEEE Robot Autom Mag"},{"key":"554_CR57","unstructured":"Gilbreth FB, Gilbreth LM (1917) Applied motion study: A collection of papers on the efficient method to industrial preparedness. Sturgis & Walton Co, New York"}],"container-title":["Intelligent Service Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11370-024-00554-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11370-024-00554-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11370-024-00554-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T17:10:49Z","timestamp":1727716249000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11370-024-00554-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,1]]},"references-count":57,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["554"],"URL":"https:\/\/doi.org\/10.1007\/s11370-024-00554-1","relation":{},"ISSN":["1861-2776","1861-2784"],"issn-type":[{"type":"print","value":"1861-2776"},{"type":"electronic","value":"1861-2784"}],"subject":[],"published":{"date-parts":[[2024,8,1]]},"assertion":[{"value":"12 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 July 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 August 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":"We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work. There is no professional or other personal interest of any nature or kind in any product, service and\/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The study was conducted in accordance with the Declaration of Helsinki, with the research protocol approved by the Institutional Review Board at the Center for Psychological Sciences, Zhejiang University (protocol code 2022-008, approved on 13 December 2022).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"Informed consent was obtained from all human subjects to participate in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Informed consent was obtained from the family to publish the data in an anonymized manner.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}]}}