Intelligent communication of two humanoid robots based on computer vison

The focus of this paper is on investigating the use of visual communication between two humanoid robots, in order to enhance the coordination of tasks between them. The problem continues to be an interesting and fruitful area of research from the days of using multiple robot manipulator arms for man...

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Vydáno v:	Multimedia tools and applications Ročník 83; číslo 23; s. 63459 - 63477
Hlavní autor:	Juang, Li-Hong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.07.2024 Springer Nature B.V
Témata:	Algorithms Automation Communications systems Computer Communication Networks Computer Science Data Structures and Information Theory Humanoid Image classification Machine vision Manufacturing engineering Medical research Multimedia Information Systems Multiple robots Programming environments Robot arms Robotics Robots Service robots Software Special Purpose and Application-Based Systems Task complexity Visual communication Body posture Dual-robots Visual communication Anthropomorphic communication Visual identification
ISSN:	1573-7721, 1380-7501, 1573-7721
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Abstract	The focus of this paper is on investigating the use of visual communication between two humanoid robots, in order to enhance the coordination of tasks between them. The problem continues to be an interesting and fruitful area of research from the days of using multiple robot manipulator arms for manufacturing as well as space robotics to current research in medical robotics. The approach here is to employ several off-the-shelf algorithms, software and hardware such as the NAO robot and support software, including Choregraphe, OpenCV to capture and process images, the SVM to classify objects in images, and the Python programming environment. Five robotic actions were studied and three modes. The experiments used one robot as the “viewer” and the second robot as the “subject” being analyzed. Results show that the visual communication system has an accuracy of 90% in correctly identifying the five movements. This research has shown an original solution, as a model that can enable robots to run in the complex service tasks consisting of multiple connected actions in a dynamic environment. This methodology can also let the intelligent operation of the robots serve in different scenes according to their actual requirements. This research focuses on enhancing the prototype robot vision function and development of additional value for consolidation manageable platform that increases service robots in the home environment of intelligent control capability.
AbstractList	The focus of this paper is on investigating the use of visual communication between two humanoid robots, in order to enhance the coordination of tasks between them. The problem continues to be an interesting and fruitful area of research from the days of using multiple robot manipulator arms for manufacturing as well as space robotics to current research in medical robotics. The approach here is to employ several off-the-shelf algorithms, software and hardware such as the NAO robot and support software, including Choregraphe, OpenCV to capture and process images, the SVM to classify objects in images, and the Python programming environment. Five robotic actions were studied and three modes. The experiments used one robot as the “viewer” and the second robot as the “subject” being analyzed. Results show that the visual communication system has an accuracy of 90% in correctly identifying the five movements. This research has shown an original solution, as a model that can enable robots to run in the complex service tasks consisting of multiple connected actions in a dynamic environment. This methodology can also let the intelligent operation of the robots serve in different scenes according to their actual requirements. This research focuses on enhancing the prototype robot vision function and development of additional value for consolidation manageable platform that increases service robots in the home environment of intelligent control capability.
Author	Juang, Li-Hong
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IEEE – reference: Jenkins M, Kantor G (2017) Online detection of occluded plant stalks for manipulation. 5162 – 5167 – reference: SpexardTHanheideMSagererGHuman-oriented interaction with an anthropomorphic robotIEEE Trans Robot200723585286210.1109/TRO.2007.904903 – reference: Kim W, Johnson-Roberson M (2017) A probabilistic framework for intrinsic image decomposition from RGB-D streams. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),6498 – 6505 – reference: George L, and Mazel A (2013) Humanoid robot indoor navigation based on 2D bar codes: application to the NAO robot. Ieee-Ras International Conference on Humanoid Robots IEEE, 329–335 – reference: PorziLBulóSRPenate-SanchezARicciELearning Depth-Aware Deep Representations for Robotic PerceptionIEEE Robotics Autom Lett20172246847510.1109/LRA.2016.2637444 – reference: Kumar S, Kumar DK, Sharma A, McLachlan N (2004) “Classification of Visual Hand Movements Using Multiresolution Wavelet Images. Proc Int Conf Intell Sens Inform Process:373–378 – reference: KumarMJindalMKKumarMunishAn efficient technique for breaking of coloured Hindi CAPTCHASoft Comput202327116611168610.1007/s00500-023-07844-3 – reference: ChenMLKumeSRizziAAHollisRLVisually Guided Coordination for Distributed Precision AssemblyProc IEEE Int Conf Robotics Autom2000216511656 – reference: Becerra HM, Sagues C (2014) Visual Control of Wheeled Mobiles Robots, Springer Tracts in Advanced Robotics 103 – reference: AdachiJSatoJUncalibrated Visual Servoing from Projective Reconstruction of Control Values [J]Electron Commun Japan201089104756 – reference: ChenMYThe SLAM Algorithm for Multiple Robots Based on Parameter EstimationIntell Autom Soft Comput201824359360710.31209/2018.100000026 – reference: DixitRahulNaskarRuchiraMishraSwatiBlur-invariant copy-move forgery detection technique with improved detection accuracy utilising SWT-SVDIET Image Process201711530130910.1049/iet-ipr.2016.0537 – reference: Kragic D, Miller AT, Allen PK (2001) Realtime tracking meets online grasp planning, IEEE International Conference on Robotics & Automation. 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Snippet	The focus of this paper is on investigating the use of visual communication between two humanoid robots, in order to enhance the coordination of tasks between...
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SubjectTerms	Algorithms Automation Communications systems Computer Communication Networks Computer Science Data Structures and Information Theory Humanoid Image classification Machine vision Manufacturing engineering Medical research Multimedia Information Systems Multiple robots Programming environments Robot arms Robotics Robots Service robots Software Special Purpose and Application-Based Systems Task complexity Visual communication
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Title	Intelligent communication of two humanoid robots based on computer vison
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