LEADER 05433nam 2200685 450 001 9910787465903321 005 20230807212434.0 010 $a1-4863-0068-5 010 $a1-4863-0067-7 035 $a(CKB)3710000000335347 035 $a(EBL)1918601 035 $a(SSID)ssj0001432199 035 $a(PQKBManifestationID)11852450 035 $a(PQKBTitleCode)TC0001432199 035 $a(PQKBWorkID)11390366 035 $a(PQKB)10220575 035 $a(Au-PeEL)EBL1918601 035 $a(CaPaEBR)ebr11006953 035 $a(OCoLC)879642790 035 $a(MiAaPQ)EBC1918601 035 $a(EXLCZ)993710000000335347 100 $a20150128h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBiology and evolution of crocodylians /$ftext by Gordon Grigg ; illustrations by David Kirshner ; foreword by Rick Shine 210 1$aIthaca, New York :$cComstock Publishing Associates,$d2015. 210 4$d©2015 215 $a1 online resource (671 p.) 300 $aDescription based upon print version of record. 311 $a1-4863-0066-9 320 $aIncludes bibliographical references and index. 327 $aCover; FOREWORD; Contents; PREFACE; ACKNOW LEDGEMENTS; 1 INTRODUCTION; Introducing crocodylians; The three 'families': Crocodylidae, Alligatoridae and Gavialidae; Differences between crocodylids, alligatorids and gharials; Terminology; The living species ofcrocodylians; Recent taxonomic changes in African Crocodiles; The growth of scientific knowledge about crocodylians; Beginnings; More recent research; Crocodylians as research subjects; Body size and age; Crocodylians large and small; Relationships between length and mass; How long do crocodylians live?; 2 THE CROCODYLIAN FAMILY TREE 327 $aThe modern crocodylians and their relationshipsExtant Crocodylia; Affinities between species within Crocodylidae; Affinities between species within Alligatoridae; The affinity of the Malay or false Gharial, Tomistoma schlegelii; Extinct Crocodylia and other crocodile-like reptiles; crocs in 'deep time'; Amniotes, synapsids, reptiles, anapsids and diapsids; The earliest 'Archosaurs', Archosauriformes; Archosaurs; two major clades, Crurotarsi (Pseudosuchia) and Avemetatarsalia (Ornithodira); Crurotarsan diversification in the early Triassic: the earliest crocodile-like reptiles 327 $aBasal crocodylomorphsCrocodyliformes (excluding Eusuchia); Non-eusuchian Mesoeucrocodylia; Bernissartia and extinct Eusuchia (including extinct Crocodylia); Summary; 3 CROCODYLIANS CLOSER UP; The external features of crocodylians; Body and limbs; Skin and scales; Skin colour; Bony armour; Head; Teeth; Integumentary sense organs (ISOs); Skin glands; Skull and musculoskeletal system; Skull and jaws; Opening and closing the jaws; Vertebrae and vertebral column; Neck: supporting a heavy head; Trunk musculature: analogy with an I-beam; Trunk: ribs and gastralia; Tail: the crocodylian propeller 327 $aForelimbs and pectoral girdleHindlimbs and pelvic girdle; 4 LOCOMOTION, BUOYANCY AND TRAVEL; Crocodylians on land; Gaits on land; Crocodylians in the water; Typical postures at rest in water; Swimming; Jumping and 'tail walking'; Diving; Bottom walking; Surfacing to breathe; Head and tail lift; Buoyancy; Behaviours that depend on good buoyancy control; Mechanisms of buoyancy regulation; Stomach stones(gastroliths); The search for a function; What function could the stones serve?; Capacity for long distance travel; 5 SENSORY SKILLS AND BRAIN; Vision 327 $aOperational aspects, binocularity, vision underwaterAnatomy of the eye; Retinal cells, pigments, colour vision; Night vision, the tapetum lucidum; Hearing, movement and balance; Functional anatomy of the ears and associated sense organs; Hearing sensitivity in air and water in the human audible range; Sub-audible vibrations, infrasound: possible role of the sacculus; Magnetoreception? Possible role of the lagena; Eustachian tubes: for diving and/or sensing direction of sound, or infrasound?; Brain and cranial nerves; Olfaction and gustation(chemosensation); Olfaction (smell) 327 $aGustation (taste) 330 $aBiology and Evolution of Crocodylians is a comprehensive review of current knowledge about the world's largest and most famous living reptiles.Gordon Grigg's authoritative and accessible text and David Kirshner's stunning interpretive artwork and colour photographs combine expertly in this contemporary celebration of crocodiles, alligators, caimans and gharials. This book showcases the skills and capabilities that allow crocodylians to live how and where they do. It covers the biology and ecology of the extant species, conservation issues, crocodylian-human interaction and the evolutionary his 606 $aCrocodilians 606 $aCrocodilians$xEvolution 606 $aCrocodiles 606 $aCrocodiles$xEvolution 615 0$aCrocodilians. 615 0$aCrocodilians$xEvolution. 615 0$aCrocodiles. 615 0$aCrocodiles$xEvolution. 676 $a597.98 700 $aGrigg$b Gordon$01504883 702 $aKirshner$b David 702 $aShine$b Richard 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910787465903321 996 $aBiology and evolution of crocodylians$93734160 997 $aUNINA LEADER 05435nam 2200637Ia 450 001 9910787559203321 005 20230803030832.0 010 $a1-61705-162-4 035 $a(CKB)2670000000400423 035 $a(EBL)1286861 035 $a(OCoLC)853362801 035 $a(SSID)ssj0000918258 035 $a(PQKBManifestationID)11956898 035 $a(PQKBTitleCode)TC0000918258 035 $a(PQKBWorkID)10907358 035 $a(PQKB)10267347 035 $a(MiAaPQ)EBC1286861 035 $a(Au-PeEL)EBL1286861 035 $a(CaPaEBR)ebr10733919 035 $a(CaONFJC)MIL539928 035 $a(EXLCZ)992670000000400423 100 $a20130304d2013 uy 0 101 0 $aeng 135 $aurunu---uuuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntraoperative frozen sections$b[electronic resource] /$fPedram Argani, Ashley Cimino-Mathews 210 $aNew York $cDemos Medical Publishing, LLC$d2013 215 $a1 online resource (xvii, 274 pages) $cillustrations 225 1 $aConsultant pathology ;$vvolume 5 300 $aDescription based upon print version of record. 311 $a1-936287-97-8 320 $aIncludes bibliographical references and index. 327 $aCover; Title; Copyright; Contents; Foreword; Preface; 1. Genitourinary; 1.1 Spindle Cells at Renal Parenchymal Margin of Partial Nephrectomy; Clinical History; Discussion; Bibliography; 1.2 Atypical Glandular Proliferation in Paratesticular Biopsy; Clinical History; Discussion; Bibliography; 1.3 Tubulopapillary Proliferation at Renal Parenchymal Margin of Partial Nephrectomy; Clinical History; Discussion; Bibliography; 1.4 Ureter Margin in Patient With Urothelial Carcinoma of the Bladder; Clinical History; Discussion; Bibliography; 1.5 Clear Cell Mass Lesion on Renal Biopsy; Clinical History 327 $aDiscussionBibliography; 2. Head and Neck; 2.1 Crushed Small Round Cells in Nasal Biopsy; Clinical History; Discussion; Bibliography; 2.2 Sinusitis in Patient With Acute Leukemia; Clinical History; Discussion; Bibliography; 2.3 Margin for Invasive Squamous Cell Carcinoma; Clinical History; Discussion; Bibliography; 2.4 "Enlarged Cervical Lymph Node" in Patient With Papillary Thyroid Carcinoma; Clinical History; Discussion; Bibliography; 2.5 Epithelial Lesion Involving Bone; Clinical History; Discussion; 2.6 Nasal Small Round Cell Tumor; Clinical History; Discussion; Bibliography 327 $a2.7 Salivary Gland Neoplasm With Double Duct PatternClinical History; Discussion; Bibliography; 2.8 Neck Mass, Rule Out Metastatic Squamous Carcinoma; Clinical History; Discussion; Bibliography; 2.9 Is This Squamous Carcinoma In Situ?; Clinical History; Discussion; Bibliography; 2.10 Nasal Polyp; Clinical History; Discussion; Bibliography; 2.11 Possible Recurrence After Radiation for Squamous Cell Carcinoma; Clinical History; Discussion; Bibliography; 2.12 Is This Invasive Squamous Cell Carcinoma?; Clinical History; Discussion; Bibliography; 2.13 Follicular-Pattern Lesion Identification 327 $aClinical HistoryDiscussion; Bibliography; 2.14 Psammoma Body in Cervical Lymph Node; Clinical History; Discussion; Bibliography; 2.15 Oncocytic Papillary Neoplasm of the Thyroid; Clinical History; Discussion; Bibliography; 2.16 Crushed Cells at Margin of Squamous Cell Carcinoma Resection; Clinical History; Discussion; Bibliography; 3. Thorax; 3.1 Lung Nodule in Patient With History of Esophageal Squamous Cell Carcinoma; Clinical History; Discussion; Bibliography; 3.2 Mucinous Peripheral Lung Lesion; Clinical History; Discussion; Bibliography; 3.3 Malignant Epithelial Neoplasm in Pleura 327 $aClinical HistoryDiscussion; Bibliography; 3.4 Lung Nodule on Wedge Resection; Clinical History; Discussion; Bibliography; 3.5 Pleural Nodule in Patient With Pulmonary Adenocarcinoma; Clinical History; Discussion; Bibliography; 3.6 Granuloma in Mediastinal Lymph Node; Clinical History; Discussion; Bibliography; 3.7 Glandular Lesion in Peripheral Lung; Clinical History; Discussion; Bibliography; 3.8 Sclerosing Mediastinal Lesion in Patient With History of Hodgkin Lymphoma; Clinical History; Discussion; Bibliography; 4. Gastrointestinal/Peritoneal; 4.1 Mucinous Appendiceal Lesion 327 $aClinical History 330 $aIntraoperative Frozen Sections presents diagnostic challenges involved in the evaluation in the pathology lab of specimens obtained during surgery through the case experience of expert pathologists. Sixty three problems cover the wide range of approximately of problems encountered in intraoperative consultations. Each presentation provides the case information as presented to the consultant, the evaluation and analysis of the specimen, discussion of the results and teaching points observed in the case, and an overall comment providing additional context for the diagnostic problem that has been 410 0$aConsultant pathology series ;$v5. 606 $aPathology, Surgical 606 $aFrozen tissue sections 615 0$aPathology, Surgical. 615 0$aFrozen tissue sections. 676 $a617.07 700 $aArgani$b Pedram$01571945 701 $aCimino-Mathews$b Ashley$01571946 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910787559203321 996 $aIntraoperative frozen sections$93846519 997 $aUNINA LEADER 12848nam 22008175 450 001 9910586598103321 005 20251113195850.0 010 $a3-031-13841-4 024 7 $a10.1007/978-3-031-13841-6 035 $a(MiAaPQ)EBC7072366 035 $a(Au-PeEL)EBL7072366 035 $a(CKB)24360927900041 035 $a(DE-He213)978-3-031-13841-6 035 $a(PPN)264191293 035 $a(EXLCZ)9924360927900041 100 $a20220809d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Robotics and Applications $e15th International Conference, ICIRA 2022, Harbin, China, August 1?3, 2022, Proceedings, Part IV /$fedited by Honghai Liu, Zhouping Yin, Lianqing Liu, Li Jiang, Guoying Gu, Xinyu Wu, Weihong Ren 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (796 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13458 311 08$aPrint version: Liu, Honghai Intelligent Robotics and Applications Cham : Springer International Publishing AG,c2022 9783031138409 327 $aIntro -- Preface -- Organization -- Contents - Part IV -- Compliant Mechanisms and Robotic Applications -- Active Control of Chatter for Five-Axis Milling Based on Piezoelectric Actuator -- 1 Introduction -- 2 Design of Active Chatter Control Device -- 2.1 Active Chatter Control Device for Five-Axis Milling -- 2.2 Dynamic Model of the Control Device -- 2.3 Dynamic Model of Five-Axis Milling -- 3 Design and Simulation of Fuzzy PD Controller -- 3.1 The Structure of Active Control System -- 3.2 Simulation of Control Systems -- 4 Active Control Experiment of Milling Chatter -- 5 Conclusions -- References -- A Robot-Assisted System for Dental Implantation -- 1 Introduction -- 2 Materials and Methods -- 2.1 A Subsection Sample -- 2.2 Selection of the Optical Positioning System -- 2.3 Selection of the Control System -- 2.4 Application Process of the Robot-Assisted Dental Implant Implantation System -- 3 Kinematics Analysis of the Robot-Assisted Dental Implant System -- 3.1 Forward Kinematics Analysis -- 3.2 Inverse Kinematics Analysis -- 4 Coordinate System Conversion and Trajectory Planning -- 4.1 Coordinate System Transformation -- 4.2 Trajectory Planning -- 5 Conclusion and Future Studied -- References -- Tri-axial Motion Sensing with Mechanomagnetic Effect for Human-Machine Interface -- 1 Introduction -- 2 Principle of Mechanomagnetic Sensing -- 2.1 Bioinspired Design -- 2.2 Mechanomagnetic Sensing and Parameter Optimization -- 3 Experimental Validation -- 3.1 Sensor Performance and Model Calibration -- 3.2 Illustrative Application to HMI -- 4 Conclusion -- Appendix -- Fabrication of Magnetic Film -- Fabrication of Elastic Layer and Sensor Assembling -- References -- Flexible or Continuum Robots in Clinical Context -- Model Predictive 6D Image-Based Visual Servoing for 3C Products Assembly -- 1 Introduction. 327 $a2 System Description and Problem Statement -- 2.1 Depth Problem -- 2.2 Local Optimal Solution -- 3 Model Predictive Image-Base Visual Servoing for Six-DOF Robot Arm -- 3.1 Model Predictive Control -- 3.2 Depth Constraint -- 3.3 Punishment for the Local Optimal Solution -- 4 Simulations -- 4.1 Simulation Environment -- 4.2 Simulation of Depth Constrain Problems -- 4.3 Simulation of the Local Optimal Solution -- 5 Conclusion -- References -- 3D Visual Servo Control of a Flexible Endoscope with RCM Constraint -- 1 Introduction -- 2 Kinematic Modelling -- 3 3D Visual Tracking Scheme -- 3.1 Classical Image-Based Visual Servo for Monocular Camera -- 3.2 Stereo Vision and 3D Visual Servoing Framework -- 4 Control Framework with RCM Constraint -- 4.1 Algorithm-Based RCM Constraint -- 4.2 Control Framework for 3D Visual Servo with RCM Constraint -- 5 Simulation Validations -- 6 Conclusion -- References -- Automated Vein Segmentation from NIR Images Using a Mixer-UNet Model -- 1 Introduction -- 2 Research Methods -- 2.1 Venipuncture Robotic System -- 2.2 Automated Vein Segmentation from NIR Images -- 3 Experiments and Results -- 3.1 Experiments -- 3.2 Results -- 4 Conclusions -- References -- A Novel Cable-Driven Manipulator with Constant-Curvature Deflections and Equal Displacements of the Antagonistic Cables -- 1 Introduction -- 2 Modeling -- 2.1 Structure -- 2.2 Kinematic Modeling -- 2.3 Simplification of Mapping Between Cable Length Change and Segment Angle -- 3 Motion Analysis -- 3.1 Working Space -- 3.2 The Linear Mapping Between Cable Length and Segment Angle -- 4 Experiment -- 5 Conclusion -- References -- Vessel Site Selection for Autonomous Cannulation Under NIR Image Guidance -- 1 Introduction -- 2 Methods -- 2.1 Mechanical System -- 2.2 Data Composition -- 2.3 Image Preprocessing -- 2.4 Image Post-processing -- 2.5 Vessel Site Selection. 327 $a3 Experiments and Results -- 4 Conclusions -- References -- Data Processing and Image Analysis -- Open-Set Fault Diagnosis Method for Industrial Process Based on Semi-supervised Learning -- 1 Introduction -- 2 Distribution Alignment -- 3 Open-Set Semi-supervised Process Fault Diagnosis Strategy Based on Uncertainty Distribution Alignment -- 4 Experiment -- 4.1 Numerical Simulation -- 4.2 Tennessee-Eastman Process -- 5 Conclusions -- References -- The Geometric Transformation Model of Two Views Based on the Line-Scan Camera Imaging Model -- 1 Introduction -- 2 The Geometric Transformation Model of Linear Array Image -- 2.1 The Imaging Model of Line-Scan Camera -- 2.2 The Geometric Transformation Model of Two Views for Line-Scan Camera -- 3 Verification Method of the Geometric Transformation Model of Linear Array Image -- 3.1 Verification Method -- 3.2 Experimental Data -- 4 Experimental Results -- 5 Conclusion -- References -- Group Sparsity Regularized High Order Tensor for HSIs Super-Resolution -- 1 Introduction -- 2 Preliminaries -- 3 Model -- 4 Algorithm -- 5 Experiments -- 5.1 Dataset -- 5.2 Compared Methods and Evaluation Indexes -- 5.3 Qualitative and Quantitative Results -- 6 Conclusion -- References -- Bearing Fault Diagnosis Method Based on Multi-sensor Feature Fusion Convolutional Neural Network -- 1 Introduction -- 2 Flowchart of the Proposed Model -- 2.1 Dilated Convolution Block -- 2.2 Multi-layer Fusion Network -- 2.3 Attention Fusion Network -- 2.4 Network Parameter Settings -- 3 Experimental Verification -- 3.1 Experimental Platform Setup for Data Acquisition -- 3.2 Performance Analysis of Different Sensor Signals -- 3.3 The Accuracy of Time Domain and Frequency Domain Signals -- 3.4 Network Visualization -- 3.5 Attention Fusion Network Analysis -- 3.6 Comparisons of Different Methods -- 4 Conclusion -- References. 327 $aEffect of Foot Shape on Walking Performance of a Biped Robot Controlled by State Machine -- 1 Introduction -- 2 Simulation Model -- 2.1 Robot Model -- 2.2 Foot Shape -- 3 Control Method -- 3.1 Control Framework -- 3.2 Low-Level Controllers -- 4 Result -- 4.1 Walking Performance -- 4.2 Walking Gait -- 4.3 Discussion -- 5 Conclusion -- References -- Research on Part Image Segmentation Algorithm Based on Improved DeepLabV3+ -- 1 Introduction -- 2 DeepLabV3+?Model -- 3 Improved DeepLabV3+?structure -- 3.1 Channel Attention -- 3.2 Adaptive Spatial Feature Fusion -- 3.3 Asymmetric Convolution -- 4 Experimental -- 4.1 Experimental Platform and Parameter -- 4.2 Datasets and Evaluation Metrics -- 4.3 Comparison of Results from Different Algorithms -- 5 Conclusion -- References -- Multiple Object Tracking by Joint Head, Body Detection and Re-Identification -- 1 Introduction -- 2 Related Work -- 2.1 Tracking-By-Detection MOT Approaches -- 2.2 Joint-Detection-and-Tracking MOT Approaches -- 2.3 Head Detection and Tracking -- 3 HBR: Joint Head, Body Detection and Re-ID Model -- 3.1 Backbone Network -- 3.2 Head and Body Detection -- 3.3 Re-ID Task -- 3.4 Total Loss of Training -- 3.5 Online Association and Tracking -- 4 Experiments -- 4.1 Datasets and Metrics -- 4.2 Implementation Details -- 4.3 Evaluation on MOT Challenge -- 5 Summary and Future Work -- References -- Recognition of Blinding Diseases from Ocular OCT Images Based on Deep Learning -- 1 Introduction -- 2 Related Research -- 3 Method -- 3.1 Crop and Adjust the Volume -- 3.2 Data Enhancement -- 3.3 Inception V3 Model -- 4 Experiment General Overview -- 4.1 Data Sets -- 4.2 Process and Result -- 4.3 Comparative Experiment -- 5 Conclusion -- References -- CTooth: A Fully Annotated 3D Dataset and Benchmark for Tooth Volume Segmentation on Cone Beam Computed Tomography Images -- 1 Introduction. 327 $a2 CTooth Dataset: Fully Annotated Cone Beam Computed Tomography Tooth Dataset -- 2.1 Dataset Summary -- 2.2 Expert Annotation -- 3 Attention-Based Tooth Volume Segmentation -- 3.1 Framework Design -- 3.2 Loss Function -- 4 Experiments and Results -- 4.1 Evaluation Metrics on the CTooth -- 4.2 Experimental Results -- 5 Conclusion -- References -- DU-Net Based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images -- 1 Introduction -- 2 Methods -- 2.1 Data Augmentation -- 2.2 Network Structure -- 2.3 Post-processing -- 3 Experiments -- 3.1 Dataset -- 3.2 Preprocessing -- 3.3 Network Training Details -- 3.4 Post-processing -- 3.5 Result Evaluation -- 4 Conclusions -- References -- Dual Path DNN Based Heterogenous Reference Image Quality Assessment via Decoupling the Quality Difference and Content Difference -- 1 Introduction -- 2 Related Works -- 2.1 DNN Based Blind Image Qquality Assessment -- 2.2 IQA Using Similar Scene as Reference -- 3 Proposed Methods -- 3.1 Quality Difference Invariance and Content Difference Invariance -- 3.2 Implementation Details and Training Pipeline -- 3.3 Training Sample Generating Procedure -- 4 Experiments -- 4.1 Preconditions -- 4.2 Performance Comparison -- 4.3 Ablation Experiments -- 5 Conclusion -- References -- Automatic Segmentation of Kidney Computed Tomography Images Based on Generative Adversarial Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 SegKGAN Architecture -- 2.2 Objective Function -- 2.3 Experimental Configuration and Evaluation Criteria -- 3 Result -- 3.1 Qualitative Evaluation -- 3.2 Quantitative Evaluation -- 4 Conclusion -- References -- Engineering Drawing Manager: A Smart Data Extractor and Management Software -- 1 Introduction -- 2 Overview of ED Manager -- 2.1 Software Framework -- 2.2 Workflow of Information Processing Layer -- 3 Key Algorithms. 327 $a3.1 Image Preprocessing. 330 $aThe 4-volume set LNAI 13455 - 13458 constitutes the proceedings of the 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022, which took place in Harbin China, during August 2022. The 284 papers included in these proceedings were carefully reviewed and selected from 442 submissions. They were organized in topical sections as follows: Robotics, Mechatronics, Applications, Robotic Machining, Medical Engineering, Soft and Hybrid Robots, Human-robot Collaboration, Machine Intelligence, and Human Robot Interaction. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13458 606 $aArtificial intelligence 606 $aDatabase management 606 $aApplication software 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aComputers, Special purpose 606 $aComputer systems 606 $aArtificial Intelligence 606 $aDatabase Management 606 $aComputer and Information Systems Applications 606 $aUser Interfaces and Human Computer Interaction 606 $aSpecial Purpose and Application-Based Systems 606 $aComputer System Implementation 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aApplication software. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 0$aComputers, Special purpose. 615 0$aComputer systems. 615 14$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aComputer and Information Systems Applications. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aComputer System Implementation. 676 $a006.3 676 $a629.892 702 $aLiu$b Honghai 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910586598103321 996 $aIntelligent Robotics and Applications$9773722 997 $aUNINA