BibSLEIGH — Proceedings of the 15th International Conference on Automation Science and Engineering

Proceedings of the 15th International Conference on Automation Science and Engineering
CASE, 2019.

SYS

@proceedings{CASE-2019,
	ee            = "https://ieeexplore.ieee.org/xpl/conhome/8827189/proceeding",
	isbn          = "978-1-7281-0356-3",
	publisher     = "{IEEE}",
	title         = "{Proceedings of the 15th International Conference on Automation Science and Engineering}",
	year          = 2019,
}

Contents (292 items)

CASE-2019-Biller #delivery #how #information retrieval: The operational butterfly effect: How IoT data + AI help deliver on the promise of 4IR (SB), p. 1.
CASE-2019-FoxBSG #automation #learning #multi: Multi-Task Hierarchical Imitation Learning for Home Automation (RF, RB, IS, KG), pp. 1–8.
CASE-2019-Katipamula #automation: Building Automation: Where is it Today and Where it Should be (SK), p. 1.
CASE-2019-LiGZYWSZ #detection #fault #using: Detection model of invisible weld defects using magneto-optical imaging induced by rotating magnetic field (YL, XG, YZ, DY, CW, YS, NZ), pp. 1–5.
CASE-2019-Mason: From Carnegie Mellon to Berkshire Grey (MTM), p. 1.
CASE-2019-ThonnessenSFCK #quickcheck #safety #testing #using: Testing Safety PLCs Using QuickCheck (DT, NS, MF, KC, SK), pp. 1–6.
CASE-2019-Zhou #ecosystem #industrial: Smart Manufacturing Ecosystem with Industry 4.0 Technologies (MZ), p. 1.
CASE-2019-ReisgenMOLS #case study #image: Study on Workpiece and Welding Torch Height Control for Polydirectional WAAM by Means of Image Processing (UR, SM, LO, PL, RS), pp. 6–11.
CASE-2019-PhalenVPCCIT #automation: Mosquito Pick-and-Place: Automating a Key Step in PfSPZ-based Malaria Vaccine Production (HP, PV, MP, SC, GSC, II, RHT), pp. 12–17.
CASE-2019-FuSS #energy: A pilot protection method based on energy balance for half-wavelength transmission lines (JF, GS, BDS), pp. 18–23.
CASE-2019-DarwazehGD #development #energy: Development of a virtual metering method for characterizing energy flows in air handling units (DD, BG, JD), pp. 24–29.
CASE-2019-LiWXLGL #design #multi #optimisation #robust: Conditional Value at Riskbased Multidisciplinary Robust Design Optimization (WL, TW, MX, ML, LG, CL), pp. 30–35.
CASE-2019-WangJRH #image #realtime #scalability #using: Real-time control for large scale additive manufacturing using thermal images (FW, FJ, KR, NH), pp. 36–41.
CASE-2019-BaiTYZD #algorithm #evaluation #exponential #finite #performance #robust: An Accurate and Robust Algorithm for Performance Evaluation of Exponential Serial Lines with Finite Buffers (YB, JT, MY, LZ, PD), pp. 42–47.
CASE-2019-KangJ #health #optimisation #process #realtime #sequence: Joint Optimization of Operating Mode and Part Sequence for Robot Loading Process Considering Real-time Health Condition (YK, FJ), pp. 48–53.
CASE-2019-Qiao #assessment #development: Advanced Sensor and Target Development to Support Robot Accuracy Degradation Assessment (GQ), pp. 54–59.
CASE-2019-LeeKH #modelling #order #sorting: Modelling a batch assorting operation for an autonomous cart in a parallel-aisle order assorting system (JL, YK, SH), pp. 60–65.
CASE-2019-MonnierBF #execution: A proposed mapping method for aligning machine execution data to numerical control code (LM, WZB, SF), pp. 66–72.
CASE-2019-LuHL0 #overview #perspective #standard: Standards for Smart Manufacturing: A review (YL, HH, CL, XX0), pp. 73–78.
CASE-2019-TuBYZD: Dynamic Bottleneck in Serial Production Lines with Bernoulli Machines (JT, YB, MY, LZ, PD), pp. 79–84.
CASE-2019-Yan #energy #optimisation #performance: Energy Consumption optimization in Two-Machine Bernoulli Serial Lines with Limits on Machine Efficiency (CBY), pp. 85–90.
CASE-2019-ChengYG #energy #optimisation: Energy Cost optimization in Two-Machine Bernoulli Serial Lines Under Time-of-Use Pricing (XC, CBY, FG), pp. 91–96.
CASE-2019-ChenJD #analysis #flexibility #geometry #performance #realtime: Real-Time Performance Analysis of Batch-Based Serial Flexible Production Lines With Geometric Machines (JC, ZJ, YD), pp. 97–102.
CASE-2019-XuLWMWLS #data-driven #fault #maintenance #predict: Data-Driven Fault Diagnostics and Prognostics for Predictive Maintenance: A Brief Overview* (GX, ML0, JW, YM, JW, FL, WS0), pp. 103–108.
CASE-2019-MaLQ #data-driven #information management #scheduling: Data Driven Scheduling Knowledge Management for Smart Shop Floor (YM, XL, FQ), pp. 109–114.
CASE-2019-XingQ0 #algorithm #energy #hybrid #multi #scheduling: A Hybrid Multi-objective Algorithm for Energy-Efficient Scheduling Considering Machine Maintenance* (JX, FQ, HL0), pp. 115–120.
CASE-2019-CaoLHX #composition #optimisation: Short-Term Load Forecasting Based on Variational Modal Decomposition and optimization Model (ZC, LL, BH, HX), pp. 121–126.
CASE-2019-NiuLNLW #detection #fault #generative #named #network #using: DefectGAN: Weakly-Supervised Defect Detection using Generative Adversarial Network (SN, HL, TN, BL, XW), pp. 127–132.
CASE-2019-TanNNL #data-driven #predict #process: Data-Driven Decision-Support for Process Improvement through Predictions of Bed Occupancy Rates (KWT, QYN, FNHLN, SSWL), pp. 133–139.
CASE-2019-LiuZHZWW #estimation #learning #network #using: sEMG-Based Continuous Estimation of Knee Joint Angle Using Deep Learning with Convolutional Neural Network (GL, LZ, BH, TZ, ZW, PW), pp. 140–145.
CASE-2019-SoniGAS #hybrid #learning #named: HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications (RS, JG, GA, VRS), pp. 146–151.
CASE-2019-YanZHD #metamodelling #simulation: Physics-based Deep Spatio-temporal Metamodeling for Cardiac Electrical Conduction Simulation (HY, XZ, ZH, DD), pp. 152–157.
CASE-2019-ShaolYL #self: A Method for Self-Service Rehabilitation Training of Human Lower Limbs (ZS, LY, JL), pp. 158–163.
CASE-2019-BabuZBCM #behaviour #recognition: An Intelligent Action Recognition System to assess Cognitive Behavior for Executive Function Disorder (ARB, MZ, JRB, DC, FM), pp. 164–169.
CASE-2019-SundaresanTCFG #automation: Automated Extraction of Surgical Needles from Tissue Phantoms (PS, BT, JC, DF, KG), pp. 170–177.
CASE-2019-JinLL #simulation: Optimal budget allocation in Simulation Analytics* (XJ, HL, LHL), pp. 178–182.
CASE-2019-HekmatnejadPF #scheduling #smt #using: Task Scheduling with Nonlinear Costs using SMT Solvers (MH, GP, GF), pp. 183–188.
CASE-2019-MaHL #petri net #reduction: Supervisory Control in Partially Observable Petri Nets with Sensor Reduction (ZM, ZH, ZL), pp. 189–194.
CASE-2019-GoordenF #synthesis: No synthesis needed, we are alright already (MG, MF), pp. 195–202.
CASE-2019-HuML #petri net #using: Active Diagnosis of Petri Nets Using Q-Diagnoser (YH, ZM, ZL), pp. 203–208.
CASE-2019-StrengeSR #approach #modelling #petri net: Modeling and control of prosumer-based microgrids: a Petri net approach (LS, GS, JR), pp. 209–215.
CASE-2019-TheisMD #logic #mining #process #programmable: Process Mining of Programmable Logic Controllers: Input/Output Event Logs (JT, IM, HD), pp. 216–221.
CASE-2019-GunaySY0D #predict: An inquiry into the predictability of failure events in chillers and boilers (BG, ZS, CY, WS0, DD), pp. 222–227.
CASE-2019-WangY0 #approach #learning #monitoring: A Deep Learning Approach for Heating and Cooling Equipment Monitoring (YW, CY, WS0), pp. 228–234.
CASE-2019-SunLY #detection #network #using: Railway Joint Detection Using Deep Convolutional Neural Networks (YS, YL, CY), pp. 235–240.
CASE-2019-WangTLJGDMIG: Adversarial Grasp Objects (DW, DT, PL, YJ, MG, MD, JM, JI, KG), pp. 241–248.
CASE-2019-SubramanianC #automation #embedded #network #normalisation: Mean Spectral Normalization of Deep Neural Networks for Embedded Automation (AKS, NYC), pp. 249–256.
CASE-2019-RazaL #approach #learning #multi #policy: Constructive Policy: Reinforcement Learning Approach for Connected Multi-Agent Systems (SJAR, ML), pp. 257–262.
CASE-2019-KuoCCTHLCWHS #fault #generative #industrial: A Labor-Efficient GAN-based Model Generation Scheme for Deep-Learning Defect Inspection among Dense Beans in Coffee Industry (CJK, CCC, TTC, ZJT, MHH, YCL, YCC, DCW, GJH, WTS), pp. 263–270.
CASE-2019-Pinitnanthakorn #identification #parametricity: Parameters Identification of a Five-Axis Machine Tool by Haar Wavelet (AP, SLC), pp. 271–274.
CASE-2019-TanNAGL #case study #data-driven #predict #scheduling: Data-Driven Surgical Duration Prediction Model for Surgery Scheduling: A Case-Study for a Practice-Feasible Model in a Public Hospital (KWT, FNHLN, BYA, JG, SSWL), pp. 275–280.
CASE-2019-ZhuMLG #scheduling: A Variable Neighborhood Search for Home Care Scheduling Under Chargeable Overtime and Preference Matching* (YZ, AM, EL, NG), pp. 281–286.
CASE-2019-PrakashHZ #delivery #evaluation: Evaluation of E-Consults in Healthcare Delivery (AMP, QH, XZ), pp. 287–292.
CASE-2019-CronrathAL #learning: Enhancing Digital Twins through Reinforcement Learning (CC, ARA, BL), pp. 293–298.
CASE-2019-ZhangLGWL #algorithm #classification #learning #taxonomy: A Shapelet Dictionary Learning Algorithm for Time Series Classification (JZ, XL, LG0, LW, GL), pp. 299–304.
CASE-2019-ZhangLWGG #fault #learning #network #using: Fault Diagnosis Using Unsupervised Transfer Learning Based on Adversarial Network (ZZ, XL, LW, LG0, YG), pp. 305–310.
CASE-2019-YanYS #detection #fault #monitoring #process: Image-based Process Monitoring via Adversarial Autoencoder with Applications to Rolling Defect Detection (HY, HMY, NS), pp. 311–316.
CASE-2019-ZhangDWLL #estimation #network: Remaining Useful Life Estimation Based on a New Convolutional and Recurrent Neural Network (XZ, YD, LW, FL, WL), pp. 317–322.
CASE-2019-Dagnino #data mining #mining #process: Data Mining Methods to Analyze Alarm Logs in IoT Process Control Systems (AD), pp. 323–330.
CASE-2019-ZhaoLGWX #flexibility: An improved Q-learning based rescheduling method for flexible job-shops with machine failures (MZ, XL, LG0, LW, MX), pp. 331–337.
CASE-2019-ZhouLHC #algorithm #scheduling #search-based: A Cuckoo Search-Based Scheduling Algorithm for a Semiconductor Production Line with Constrained Waiting Time (LZ, CL, BH, ZC), pp. 338–343.
CASE-2019-GongSLX #hybrid #parallel: Minimizing total flow time in two-stage hybrid flowshop with parallel machines and a single batching machine (HG, XS, FL0, KX), pp. 344–349.
CASE-2019-WangW #algorithm #distributed #hybrid #problem #scheduling: An Iterated Greedy Algorithm for Distributed Hybrid Flowshop Scheduling Problem with Total Tardiness Minimization (JjW, LW), pp. 350–355.
CASE-2019-JiaXSWLS #approach #development #industrial #internet #research: Research on the development approach of regional manufacturing industry in Internet+era* (ZJ, YX, GS, MW, TL, ZS), pp. 356–361.
CASE-2019-Wu0Z #data-driven #optimisation: Data-driven Manufacturing Service Optimization Model in Smart Factory (WW, JL0, HZ), pp. 362–367.
CASE-2019-ChenLVR #machine learning #process #using: Strip Snap Analytics in Cold Rolling Process Using Machine Learning (ZC, YL, AVM, FR), pp. 368–373.
CASE-2019-LaiKPC #adaptation #novel #pointer #recognition: A Novel Scale Recognition Method for Pointer Meters Adapted to Different Types and Shapes (HL, QK, LP, CC), pp. 374–379.
CASE-2019-KomasDKT0 #analysis: Data-and Expert-Driven Analysis of Cause-Effect Relationships in the Production of Lithium-Ion Batteries (TK, RD, MZK, ST, CH0), pp. 380–385.
CASE-2019-SongLLSG #clustering #fault #optimisation: A New Spectral Clustering Based on Particle Swarm Optimization for Unsupervised Fault Diagnosis of Bearings (WS, ML, XL, YS, LG0), pp. 386–391.
CASE-2019-GaoLZS #automation: A Screen-Based Method for Automated Camera Intrinsic Calibration on Production Lines (WG, JL, FZ, SS), pp. 392–398.
CASE-2019-ImaniCT0 #analysis #modelling #random: Random Forest Modeling for Survival Analysis of Cancer Recurrences (FI, RC, CT, HY0), pp. 399–404.
CASE-2019-DuHD #identification #physics #using: Model Identification and Physical Exercise Control using Nonlinear Heart Rate Model and Particle Filter (DD, ZH, YD), pp. 405–410.
CASE-2019-WuMDXTIC #2d #automation #detection #estimation #multi: Multi-Mosquito Object Detection and 2D Pose Estimation for Automation of PfSPZ Malaria Vaccine Production (HW, JM, TD, MX, RHT, II, GSC), pp. 411–417.
CASE-2019-SharabianiBGND #algorithm #kernel #polynomial #using: A Computer-Aided System for Determining the Application Range of a Warfarin Clinical Dosing Algorithm Using Support Vector Machines with a Polynomial Kernel Function (AS, AB, WLG, RN, HD), pp. 418–423.
CASE-2019-Herazo-PadillaA #profiling: Screening a portfolio of pathologies by subject profiling and medical test rationing (NHP, VA, BD, XX, BB), pp. 424–430.
CASE-2019-ZakerimaneshTHT #bound: Task-Space Position and Containment Control of Redundant Manipulators with Bounded Inputs (AZ, AT, FH, MT), pp. 431–436.
CASE-2019-ChengaT #predict: Neural-Network-Based Heart Motion Prediction for Ultrasound-Guided Beating-Heart Surgery (LC, MT), pp. 437–442.
CASE-2019-XuLXKCCDKITC #staging: Mosquito Staging Apparatus for Producing PfSPZ Malaria Vaccines (MX, SL, YX, CK, BKC, JSC, JDD, JSK, II, RHT, GSC), pp. 443–449.
CASE-2019-LugaresiAFM #approach #modelling #novel #realtime #validation: Real-time Validation of Digital Models for Manufacturing Systems: a Novel Signal-processing-based Approach (GL, GA, FF, AM), pp. 450–455.
CASE-2019-HovgardLB #energy #optimisation #parametricity #simulation: Simulation Based Energy Optimization of Robot Stations by Motion Parameter Tuning (MH, BL, KB), pp. 456–461.
CASE-2019-ShenSLBZDWXW #predict: PredNet and CompNet: Prediction and High-Precision Compensation of In-Plane Shape Deformation for Additive Manufacturing (ZS, XS, YL, YB, XZ, XD, LW, GX, FYW0), pp. 462–467.
CASE-2019-LiuHS #approach #exponential #learning #scheduling: A new solution approach for flow shop scheduling with an exponential time-dependent learning effect (LL, HH, LS), pp. 468–473.
CASE-2019-CaiGS #consistency #on the #reduction: On Consistent Reduction in Discrete-Event Systems (KC, AG, CS), pp. 474–479.
CASE-2019-0003L #detection: Supervisory Control for Delayed Detectability of Discrete Event Systems (XY0, SL), pp. 480–485.
CASE-2019-ThuijsmanHTRS #automaton #finite #synthesis: Computational Effort of BDD-based Supervisor Synthesis of Extended Finite Automata (ST, DH, RJMT, MAR, RRHS), pp. 486–493.
CASE-2019-RashidinejadRF: Supervisory Control of Discrete-Event Systems in an Asynchronous Setting (AR, MAR, MF), pp. 494–501.
CASE-2019-FarooquiF #learning #modelling #synthesis #using: Synthesis of Supervisors for Unknown Plant Models Using Active Learning (AF, MF), pp. 502–508.
CASE-2019-ReijnenHMRR #confluence #finite: Finite Response and Confluence of State-based Supervisory Controllers (FFHR, ATH, JMvdMF, MAR, JER), pp. 509–516.
CASE-2019-QianAX0 #learning #performance: Improved Production Performance Through Manufacturing System Learning (YQ, JA, GX, QC0), pp. 517–522.
CASE-2019-Huang0C #learning #policy: Machine Preventive Replacement Policy for Serial Production Lines Based on Reinforcement Learning (JH0, QC0, NC), pp. 523–528.
CASE-2019-JiaDLRL: A Methodology for the Early Diagnosis of Vehicle Torque Converter Clutch Degradation (XJ0, SD, CL, PR, JL), pp. 529–534.
CASE-2019-KutzkeB #approach: Conflict Resolution for Heterogeneous Teams in Communication-limited Environments: A Generous Agent Approach (DTK, MJB), pp. 535–540.
CASE-2019-CrowleyZAS #detection #predict: Set-Based Predictive Control for Collision Detection and Evasion (JC, YZ, BA, RGS), pp. 541–546.
CASE-2019-GaoDC #design: Selecting the Optimal System Design under Covariates (SG, JD, CHC), pp. 547–552.
CASE-2019-IturrateRODS #assembly #segmentation: Improving the Generalizability of Robot Assembly Tasks Learned from Demonstration via CNN-based Segmentation (II, ER, EHØ, VD, TRS), pp. 553–560.
CASE-2019-WannerS #flexibility #polynomial #programming #using: Tool-center-point control of a flexible link concrete pump with hydraulic limitations using quadratic programming (JW, OS), pp. 561–566.
CASE-2019-PengPWDLG #problem #scheduling: Iterated Local Search for Steelmaking-refining-Continuous Casting Scheduling Problem (KP, QKP, LW, XD, CL, LG0), pp. 567–572.
CASE-2019-LuoLLWG #multi #optimisation #problem #scheduling #using: Green Job Shop Scheduling Problem with Machine at Different Speeds using a multi-objective grey wolf optimization algorithm* (YL, CL, XL, LW, LG0), pp. 573–578.
CASE-2019-TengDHWTL #algorithm #automation #design #evolution #novel #scheduling: A Novel Grammatical Evolution Algorithm for Automatic Design of Scheduling Heuristics* (YT, SD, ZH, XW, YT, DL), pp. 579–584.
CASE-2019-WangQHLC #energy #scheduling: Energy Saving Scheduling of A Single Machine System Based on Bi-objective Particle Swarm Optimization* (JW, MQ, LH, SL, QC), pp. 585–589.
CASE-2019-YanZ #energy #optimisation: Energy Consumption Optimization in Three-Machine Bernoulli Serial Lines (CBY, ZZ), pp. 590–595.
CASE-2019-MarzanoFM #energy #performance #policy #tool support: Energy Efficient State Control of Machine Tools: a Time-Based Dynamic Control Policy (LM, NF, AM), pp. 596–601.
CASE-2019-HeWDZB #adaptation #detection #fault: An Adaptive Interval Forecast CNN Model for Fault Detection Method (JH, JW, LD, JZ, JB), pp. 602–607.
CASE-2019-Morales-ValdezL #detection: Damage detection of building structure based on vibration data and hysteretic model (JMV, MAL, WY), pp. 608–613.
CASE-2019-Castro-MedinaRC #design #in the cloud #replication: Design of a Horizontal Data Fragmentation, Allocation and Replication Method in the Cloud (FCM, LRM, ALC, IMC, MAAF), pp. 614–621.
CASE-2019-XuLWZCQ #approach #learning #performance: An Improved GA-KRR Nested Learning Approach for Refrigeration Compressor Performance Forecasting* (CX, XL, JW, JZ, JC, WQ), pp. 622–627.
CASE-2019-Martinez-SeisLW #community #network #quality #social: Measure community quality by attribute importance and density in social networks (BMS, XL, XW), pp. 628–633.
CASE-2019-KarimDHCS #classification #framework: A Framework for Accurate Time Series Classification Based on Partial Observation (FK, HD, SH, SC, AS), pp. 634–639.
CASE-2019-YangLYK #classification #learning #realtime: Investigation of Deep Learning for Real-Time Melt Pool Classification in Additive Manufacturing (ZY, YL, HY, SK), pp. 640–647.
CASE-2019-KoWNL #information management #machine learning: Machine Learning based Continuous Knowledge Engineering for Additive Manufacturing (HK, PW, NYN, YL), pp. 648–654.
CASE-2019-ShkorutaCMR #learning: Iterative learning control for power profile shaping in selective laser melting (AS, WC, SM, SR), pp. 655–660.
CASE-2019-SchulerS #analysis #automation #modelling #process #towards #using: Spray pattern analysis using wet-mix concrete for model based process control towards automated construction (BS, OS), pp. 661–666.
CASE-2019-ZhaoXSLSW #3d #network #predict: Nonlinear Deformation Prediction and Compensation for 3D Printing Based on CAE Neural Networks (MZ, GX, XS, CL, ZS, HW), pp. 667–672.
CASE-2019-RoselliBA #analysis #flexibility #problem #scheduling #smt: SMT Solvers for Flexible Job-Shop Scheduling Problems: A Computational Analysis (SFR, KB, KÅ), pp. 673–678.
CASE-2019-MatsuokaNT #approach #identification #machine learning #problem #scheduling: Machine Learning Approach for Identification of Objective Function in Production Scheduling Problems (YM, TN, KT), pp. 679–684.
CASE-2019-WangS #multi: Multi-level Lot-streaming Production Planning with the Objective of Workload Balancing (WW, LS), pp. 685–690.
CASE-2019-GunawanYWV #multi #problem: Simulated Annealing for the Multi-Vehicle Cyclic Inventory Routing Problem (AG, VFY, ATW, PV), pp. 691–696.
CASE-2019-Barhebwa-Mushamuka #multi #optimisation #scheduling #throughput: Multi-objective optimization for Work-In-Process balancing and throughput maximization in global fab scheduling (FBM, SDP, CY), pp. 697–702.
CASE-2019-RobinsonWP: Quantitative Variable Autonomy Levels for Traded Control in a Pick-and-Place Task (CR, IBW, DOP), pp. 697–702.
CASE-2019-LauerL #machine learning #predict: Plan instability prediction by machine learning in master production planning (TL, SL), pp. 703–708.
CASE-2019-WangGZ #design: Design of Video-Based Clinical Visits with Nurse Assistant for Chronic Diseases Management (XW, YG, XZ), pp. 709–714.
CASE-2019-PangXHP #modelling #multi #optimisation #using: optimizing outpatient Department Staffing Level using Multi-Fidelity Models (BP, XX, BH, YP), pp. 715–720.
CASE-2019-MaoDSK #network #optimisation: Optimizing a UAV-based Emergency Medical Service Network for Trauma Injury Patients (RM, BD, DS, NK), pp. 721–726.
CASE-2019-AzefackPAGCBX #approach #behaviour #detection #smarttech: An Approach for Behavioral Drift Detection in a Smart Home (CA, RP, VA, GG, CMC, RB, XX), pp. 727–732.
CASE-2019-ZhaoXWLYG #coordination #nondeterminism: Optimal Coordination of EVs and HVAC Systems with Uncertain Renewable Supply (HZ, ZX, JW, KL, LY, XG), pp. 733–738.
CASE-2019-ZhouWXS00G #approach #learning #modelling #personalisation #predict: A Model-Driven Learning Approach for Predicting the Personalized Dynamic Thermal Comfort in Ordinary Office Environment (YZ, XW, ZX, YS, TL0, CS0, XG), pp. 739–744.
CASE-2019-YangWLZ #algorithm #multi #scheduling: A Multi-Stage Dispatching and Scheduling Algorithm for Individualized Public Transportation System (ZY, XW, CL, QZ), pp. 745–750.
CASE-2019-LiH #e-commerce #fine-grained #resource management #workflow: Blockchain-enabled workflow management system for fine-grained resource sharing in E-commerce logistics (ML0, GQH), pp. 751–755.
CASE-2019-ZhangXZW #algorithm #distributed #estimation #network: A Decentralized State Estimation Algorithm for Building Electrical Distribution Network Based on ADMM (YZ, JX, QZ, SW), pp. 756–761.
CASE-2019-AhmedG0 #approach #detection #generative #named #online: O-LoMST: An Online Anomaly Detection Approach And Its Application In A Hydropower Generation Plant (IA, TG, YD0), pp. 762–767.
CASE-2019-ZhangH #modelling #optimisation #random: Enhancing Random Search with Surrogate Models for Lipschitz Continuous Optimization (QZ, JH), pp. 768–773.
CASE-2019-ZabinskyHH #approximate #bound #branch #heuristic: Integrating Heuristics and Approximations into a Branch and Bound Framework* (ZBZ, TYH, HH), pp. 774–779.
CASE-2019-Kast0FZ #industrial #semantics: Bridging the Gap Between Semantics and Control for Industry 4.0 and Autonomous Production (BK, SA0, WF, JZ), pp. 780–787.
CASE-2019-AhlbergD #logic #metric #multi #synthesis: Human-in-the-Loop Control Synthesis for Multi-Agent Systems under Hard and Soft Metric Interval Temporal Logic Specifications* (SA, DVD), pp. 788–793.
CASE-2019-DoctoleroM #adaptation: CMAC-Adaptive Force-Position Control of a Flexible-Joint Robot (SD, CJBM), pp. 794–799.
CASE-2019-RibeiroHCL #hybrid: Passivity-based Cascade Hybrid Pose/Force Robot Control (RR, LH, RRC, FCL), pp. 806–811.
CASE-2019-XuMZLKZ #adaptation #learning #word: An Adaptive Wordpiece Language Model for Learning Chinese Word Embeddings (BX, LM, LZ, HL, QK, MZ), pp. 812–817.
CASE-2019-TsaiCHLC #design #grid #smarttech: Design a DC Soild-State Circuit Breaker for smart grid application (MTT, CLC, BWH, CHL, KHC), pp. 818–822.
CASE-2019-BaltaTB #detection #framework #modelling #monitoring #performance: A Digital Twin Framework for Performance Monitoring and Anomaly Detection in Fused Deposition Modeling (ECB, DMT, KB), pp. 823–829.
CASE-2019-HaltPTPS #assembly #performance: A Transferable Force Controller based on Prescribed Performance for Contact Establishment in Robotic Assembly Tasks (LH, FP, PT, AP, TS), pp. 830–835.
CASE-2019-FechterDB #assembly #configuration management #hybrid: Cost calculation model for reconfigurable, hybrid assembly systems (MF, TD, TB), pp. 836–841.
CASE-2019-JiangL #bound #game studies #network: Bayesian Stackelberg Game Model for Water Supply Networks against Bounded Rational Interdictors (JJ, XL), pp. 842–847.
CASE-2019-RashidQF #cyber-physical #design: A Survivability-Aware Cyber-Physical Systems Design Methodology (NR, GQ, MAAF), pp. 848–853.
CASE-2019-PotluriD #detection #injection #learning #performance #process: Deep Learning based Efficient Anomaly Detection for Securing Process Control Systems against Injection Attacks (SP, CD), pp. 854–860.
CASE-2019-WangS0JH #estimation #process: Reaction temperature estimation in Shell coal gasification process (KW, CS, FY0, YJ, DH), pp. 861–866.
CASE-2019-FaronovP #algorithm: Algorithm for Power Stabilization in Rotary Drilling Systems (MVF, IGP), pp. 867–872.
CASE-2019-KanekolTPODKM #image #learning #modelling #process: Learning Deep Dynamical Models of a Waste Incineration Plant from In-furnace Images and Process Data (TK, YT, JP, YO, YD, KK, TM), pp. 873–878.
CASE-2019-SunZ #automation #flexibility: A New Electrostatic Gripper for Flexible Handling of Fabrics in Automated Garment Manufacturing (BS, XZ), pp. 879–884.
CASE-2019-SunW #algorithm #assembly #design #hybrid #network: Hybrid Evolutionary Algorithm for Integrated Supply Chain Network Design With Assembly Line Balancing (BqS, LW), pp. 885–890.
CASE-2019-RiaziDFBL #flexibility #scalability #scheduling: Scheduling and Routing of AGVs for Large-scale Flexible Manufacturing Systems (SR, TD, PF, KB, BL), pp. 891–896.
CASE-2019-HuCZ #adaptation #distributed #multi #realtime #scheduling: Adaptive Real-Time Scheduling of Dynamic Multiple-Criticality Applications on Heterogeneous Distributed Computing Systems (BH, ZC, LZ), pp. 897–903.
CASE-2019-YuanBZ #difference #evolution #scheduling: QoS and Profit Aware Task Scheduling with Simulated-Annealing-Based Bi-Objective Differential Evolution in Green Clouds (HY, JB, MZ), pp. 904–909.
CASE-2019-ThakarKBMRSG #mobile: Task Assignment and Motion Planning for Bi-Manual Mobile Manipulation (ST, AMK, PMB, RKM, PR, BCS, SKG), pp. 910–915.
CASE-2019-ShinLM #assembly #on the #optimisation #parallel: On the Optimization Of Cycle Time in Assembly Lines with Parallel Workstations and Tasks Requiring Multiple Workers (JS, ML, JRM), pp. 916–921.
CASE-2019-BaeM #equivalence #queue #recursion: Exit Time Recursions, Recording Principles, and Queue Equivalence in Generalized Regular Flow Lines (SYB, JRM), pp. 922–929.
CASE-2019-KorabiGAOP #monitoring #process: Monitoring of a sampled process data under Run-to-Run control: application to a semiconductor process (TEK, GG, EMEA, MO, JP), pp. 930–935.
CASE-2019-JiangW #multi: Respect Your Emotion: Human-Multi-Robot Teaming based on Regret Decision Model (LJ, YW), pp. 936–941.
CASE-2019-AngleraudHNP #semantics: Cognitive Semantics For Dynamic Planning In Human-Robot Teams (AA, QH, MN, RP), pp. 942–947.
CASE-2019-WangMWNWL #performance #reliability: Dynamic Pricing for Autonomous Vehicle E-hailing Services Reliability and Performance Improvement (QW, FM, JW, YN, CW, NEL), pp. 948–953.
CASE-2019-MiaoHZ #fault #protocol #reliability: Reliable Cooperative Charging Protocol against Fault Data for Supercapacitors Charging Systems (YM, JH, SZ), pp. 954–959.
CASE-2019-CarliDP #approach #distributed #energy #game studies #generative #scheduling: A Distributed Control Approach Based on Game Theory for the Optimal Energy Scheduling of a Residential Microgrid with Shared Generation and Storage (RC, MD, VP), pp. 960–965.
CASE-2019-HosseiniCD #energy #polynomial #robust #scheduling #smarttech: Robust Energy Scheduling of Interconnected Smart Homes with Shared Energy Storage under Quadratic Pricing (SMH, RC, MD), pp. 966–971.
CASE-2019-DaiGLY #energy #multi #policy #robust #scheduling: A Time-domain Decoupling Policy for Multi-stage Robust Scheduling in a Corporate Energy System with V2G* (SD, FG, KL, LY), pp. 972–978.
CASE-2019-LiuWXGS #cyber-physical #estimation: Simulation-based Sensor Allocation for Dynamic Environment Estimation in Cyber-Physical Building System (YL, JW, ZX, XG, YS), pp. 979–984.
CASE-2019-TangJ #estimation #framework #platform #simulation: A Simulation Platform for Sensing System Selection for Occupant Distribution Estimation in Smart Buildings (JXT, QSJ), pp. 985–990.
CASE-2019-MathesenYPF #adaptation #cyber-physical #nondeterminism #optimisation #probability #quantifier #robust: Falsification of Cyber-Physical Systems with Robustness Uncertainty Quantification Through Stochastic optimization with Adaptive Restart (LM, SY, GP, GF), pp. 991–997.
CASE-2019-BenevidesIPT #recursion #robust: ROS-Based Robust and Recursive Optimal Control of Commercial Quadrotors (JRSB, RSI, MADP, MHT), pp. 998–1003.
CASE-2019-RoselliHRFA #equivalence #on the #using: On the Use of Equivalence Classes for Optimal and Sub-Optimal Bin Covering (SFR, FH, SR, MF, KÅ), pp. 1004–1009.
CASE-2019-LieretKDF #automation: Automated in-house transportation of small load carriers with autonomous unmanned aerial vehicles (ML, VK, SD, JF), pp. 1010–1015.
CASE-2019-SartoriZY #3d #approach #design #multi #performance: An efficient approach to near-optimal 3D trajectory design in cluttered environments for multirotor UAVs (DS, DZ, WY), pp. 1016–1022.
CASE-2019-PitschlP #adaptation #maintenance #mobile #persistent #reasoning #using: Obstacle Persistent Adaptive Map Maintenance for Autonomous Mobile Robots using Spatio-temporal Reasoning (MLP, MWP), pp. 1023–1028.
CASE-2019-Diaz-RuizWCWC #3d #self: Vision-only 3D Tracking for Self-Driving Cars (CDR, YW0, WLC, KQW, MEC), pp. 1029–1034.
CASE-2019-Arukgoda0D #nondeterminism #representation: Representation of Uncertain Occupancy Maps with High Level Feature Vectors (JA, RR, GD), pp. 1035–1041.
CASE-2019-MuthukumaranSE #hybrid #multi #navigation: A Hybrid Control Strategy for Autonomous Navigation while Avoiding Multiple Obstacles at Unknown Locations (VM, RGS, GHE), pp. 1042–1047.
CASE-2019-FantiMRSD: Electric Vehicle Fleet Relocation Management for Sharing Systems based on Incentive Mechanism (MPF, AMM, MR, BS, SD), pp. 1048–1053.
CASE-2019-JiangO #approach #grid: Optimal Control of a Fleet of AGVs on a Rectangular Grid: a MILP-based Approach (JJ, DO), pp. 1054–1059.
CASE-2019-LaiL #detection #learning #using: Video-Based Windshield Rain Detection and Wiper Control Using Holistic-View Deep Learning (CCL, CHGL), pp. 1060–1065.
CASE-2019-KimuraSKC: Simultaneously Determining Target Object and Transport Velocity for Manipulator and Moving Vehicle in Piece-Picking Operation (NK, RS, SK, NC), pp. 1066–1073.
CASE-2019-KazmiNVRC #detection #learning #recognition #using: Vehicle tire (tyre) detection and text recognition using deep learning (WK, IN, GV, PR, AC), pp. 1074–1079.
CASE-2019-HenniSLR #detection #framework: Improved dynamic object detection within evidential grids framework (AHH, AS, RL, NR), pp. 1080–1086.
CASE-2019-MackensenKRS #automation #energy #smarttech #using: Energy autonomous automation of Smart Home applications using the example of a wireless Indoor Smart Gardening system (EM, JK, AR, AS), pp. 1087–1092.
CASE-2019-ImamM #metric #modelling #using: Thermal Modeling of Indoor Spaces using Illumination Measurement as a Surrogate for Solar Heat Gain (MHTI, SM), pp. 1093–1098.
CASE-2019-SihiteYB #realtime #validation: Derivation of a new drive/coast motor driver model for real-time brushed DC motor control, and validation on a MIP robot (ENS, DJY, TRB), pp. 1099–1105.
CASE-2019-Vejdani: Dynamics and stability of Bat-Scale Flapping Wing Hovering Robot (HRV), pp. 1106–1111.
CASE-2019-CaoLH #adaptation #recognition #robust: Robust Hazy QR Code Recognition based on Dehazing and Improved Adaptive Thresholding Method (ZC, JL, BH), pp. 1112–1117.
CASE-2019-XieX0C #analysis #semantics: The Analysis of Haze Effect on Dense Semantic Mapping (HX, QX, DZ0, ZC), pp. 1118–1123.
CASE-2019-Niu0JM #3d #performance #visual notation: Efficient 3D Visual Perception for Robotic Rock Breaking (LN, KC0, KJ, JM), pp. 1124–1130.
CASE-2019-RoyMN #adaptation #using #visual notation: Dynamic Eye-in-Hand Visual Servoing using Adaptive Backstepping with a Supervisory Feature Jacobian (PLGR, CJBM, JN), pp. 1131–1137.
CASE-2019-KhalidHKHT #segmentation: Deep Workpiece Region Segmentation for Bin Picking (MUK, JMH, WK, MFH, MT), pp. 1138–1144.
CASE-2019-PerdomoPMMKP #2d #detection #named #performance: c-M2DP: A Fast Point Cloud Descriptor with Color Information to Perform Loop Closure Detection (LP, DP, MM, RM, MLK, EP), pp. 1145–1150.
CASE-2019-BhattKMSSG #concurrent #design #nondeterminism: Concurrent Design of Tool-Paths and Impedance Controllers for Performing Area Coverage Operations in Manufacturing Applications under Uncertainty (PMB, AMK, RKM, AVS, BCS, SKG), pp. 1151–1156.
CASE-2019-BhatnagarSGB #markov #process: Robotic Harvesting of a Moving Swarm Represented by a Markov Process (SB, SSS, JG, ATB), pp. 1157–1162.
CASE-2019-JoshiLBB #using: Motion-planning Using RRTs for a Swarm of Robots Controlled by Global Inputs (PJ, JL, DB, ATB), pp. 1163–1168.
CASE-2019-SirohiWHGWG #design #novel: Design and Characterization of a Novel, Continuum-Robot Surface for the Human Environment (RS, YW, SH, ISG, IDW, EG), pp. 1169–1174.
CASE-2019-BayueloABNS #composition #feedback: Computing Feedback Plans from Dynamical System Composition (AB, TA, LB, LFN, RNS), pp. 1175–1180.
CASE-2019-NikouHD #design #validation: Design and Experimental Validation of Tube-based MPC for Timed-constrained Robot Planning (AN, SHA, DVD), pp. 1181–1186.
CASE-2019-AndersonlPL #estimation #mobile #recursion #using: Mobile Robotic Radiation Surveying Using Recursive Bayesian Estimation (RBA, MP, SL), pp. 1187–1192.
CASE-2019-HeppnerPPSBRD #estimation #health: Risk Aware Robots - Health Estimation and Capability Selection (GH, CP, LP, TS, TB, AR, RD), pp. 1193–1199.
CASE-2019-PettingerDP #development: Passive Tool Changer Development for an Elastic and Compliant Manipulator (AP, CD, MP), pp. 1200–1205.
CASE-2019-MerktIYV #towards #using: Towards Shared Autonomy Applications using Whole-body Control Formulations of Locomanipulation (WM, VI, YY, SV), pp. 1206–1211.
CASE-2019-RajendranTG: User-Guided Path Planning for Redundant Manipulators in Highly Constrained Work Environments (PR, ST, SKG), pp. 1212–1217.
CASE-2019-DaiYM #effectiveness #multi: Multi-Robot Work Assignment Methods for Effectiveness Improvement of Deploying Service Robots (JD, HY, TM), pp. 1224–1229.
CASE-2019-AdamidesMKS #collaboration #detection #proximity: A Time-of-Flight On-Robot Proximity Sensing System to Achieve Human Detection for Collaborative Robots (OAA, ASM, SK, FS), pp. 1230–1236.
CASE-2019-AshouriNSG #predict #using: Day-ahead Prediction of Building Occupancy using WiFi Signals (AA, GRN, ZS, HBG), pp. 1237–1242.
CASE-2019-PippiaLCSS #approach #predict: Scenario-based Model Predictive Control Approach for Heating Systems in an Office Building (TP, JL, RDC, JS, BDS), pp. 1243–1248.
CASE-2019-RastegarpourCFG #validation: Experimental Validation of the Control-Oriented Model of Heat Pumps for MPC Applications (SR, LC, LF, OG), pp. 1249–1255.
CASE-2019-WarsewaBRST #design #distributed #scalability #using: Decentralized and Distributed Observer Design for Large-Scale Structures using Dynamic Condensation (AW, MB, PR, OS, CT), pp. 1256–1262.
CASE-2019-BohmWSSS #adaptation: Homogenizability of Element Utilization in Adaptive Structures (MB, JLW, SS, WS, OS), pp. 1263–1268.
CASE-2019-OeiKHFS #modelling: Modelling the Flow and Heat Transfer Characteristics of Perforated Foldcore Sandwich Composites for Application in Room Air Conditioning (MO, YK, NH, DF, OS), pp. 1269–1274.
CASE-2019-GamsRNSKSU #learning #quality #visual notation: Robotic Learning for Increased Productivity: Autonomously Improving Speed of Robotic Visual Quality Inspection (AG, SR, BN, JS, RK, JS, AU), pp. 1275–1281.
CASE-2019-PirehgalinTOV #analysis #automation #image #using #video #visual notation: Automatic Visual Leakage Inspection by Using Thermographic Video and Image Analysis (MFP, ET, MO, BVH), pp. 1282–1288.
CASE-2019-TaheritanjaniSB #automation #detection #process: Automatic Damage Detection of Fasteners in Overhaul Processes (ST, RS, BB), pp. 1289–1295.
CASE-2019-LeLGL: Embedded-Based Object Matching and Robot Arm Control (MTL, CHGL, SMG, JJJL), pp. 1296–1301.
CASE-2019-WasserfallAH #3d #verification: Optical In-Situ Verification of 3D-Printed Electronic Circuits (FW, DA, NH), pp. 1302–1307.
CASE-2019-HagelskjaerSKB #constraints #estimation #industrial #performance #precise #using: Using spatial constraints for fast set-up of precise pose estimation in an industrial setting (FH, TRS, NK, AGB), pp. 1308–1314.
CASE-2019-WindRS #generative: Time-Optimal Playback Trajectory Generation for Hydraulic Material Handling Excavator (HW, AR, OS), pp. 1315–1320.
CASE-2019-MatsusawaNK #automation #on-demand: On-demand Trajectory Planning with Load Sway Suppression and Obstacles Avoidance in Automated Overhead Traveling Crane System (KM, YN, AK), pp. 1321–1326.
CASE-2019-CunhaL #energy #optimisation #realtime: Real-Time Path-Constrained Trajectory Tracking for Robot Manipulators with Energy Budget Optimization (DVC, FL), pp. 1327–1332.
CASE-2019-GaoZ0 #behaviour #learning #modelling #navigation: Modeling Socially Normative Navigation Behaviors from Demonstrations with Inverse Reinforcement Learning (XG, XZ, MT0), pp. 1333–1340.
CASE-2019-GleesonLCL #implementation: Implementation of a Rapidly Executing Robot Controller (DG, CL, JSC, BL), pp. 1341–1346.
CASE-2019-ChangLH #coordination #detection #network #realtime #using: Real-Time Object Coordinate Detection and Manipulator Control Using Rigidly Trained Convolutional Neural Networks (YMC, CHGL, YFH), pp. 1347–1352.
CASE-2019-HongCL #learning #locality #mobile #realtime #using: Real-time Visual-Based Localization for Mobile Robot Using Structured-View Deep Learning (YFH, YMC, CHGL), pp. 1353–1358.
CASE-2019-TakayanagiKH: Hierarchical Task Planning from Object Goal State for Human-Assist Robot (TT, YK, TH), pp. 1359–1366.
CASE-2019-DasSAP #estimation #interactive #physics #using: Joint Torque Estimation using Base Force-Torque Sensor to Facilitate Physical Human-Robot Interaction (pHRI) (SKD, MNS, SA, DOP), pp. 1367–1372.
CASE-2019-StaubTMBLTBSG #mobile: Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator (BS, AKT, JM, MB, ML, YT, MB, RS, KG), pp. 1373–1379.
CASE-2019-QamsaneCBKMMTB #evaluation #framework #monitoring #realtime: A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems (YQ, CYC, ECB, BCK, SM, JRM, DMT, KB), pp. 1394–1401.
CASE-2019-JiangLLS #industrial: Industrial Dataspace: A Broker to Run Cyber-Physical-Social Production System in Level of Machining Workshops (PJ, CL, PL, HS), pp. 1402–1407.
CASE-2019-ToquicaBM #architecture #industrial #web: Web Compliant Open Architecture For Teleoperation of Industrial Robots (JST, DB, JMSTM), pp. 1408–1414.
CASE-2019-NguyenLLGL #network #self #using: Visual-Guided Robot Arm Using Self-Supervised Deep Convolutional Neural Networks (VTN, CL, CHGL, SMG, JJJL), pp. 1415–1420.
CASE-2019-CorreaMDG #robust: Robust Toppling for Vacuum Suction Grasping (CC, JM, MD, KG), pp. 1421–1428.
CASE-2019-DongKDBDG #automation #linear #multi: Automating Planar Object Singulation by Linear Pushing with Single-point and Multi-point Contacts (ZD, SK, SD, AB, MD, KG), pp. 1429–1436.
CASE-2019-ColomboGARTBG #approach #constraints #mobile #predict: Parameterized Model Predictive Control of a Nonholonomic Mobile Manipulator: A Terminal Constraint-Free Approach (RC, FG, VA, PR, ST, LB, SKG), pp. 1437–1442.
CASE-2019-StappenD #3d #on the: On Sufficient Numbers of Fingers to Immobilize 3D Chains of Polyhedra (AFvdS, MD), pp. 1443–1449.
CASE-2019-TittelMS #industrial: Full 6-DOF Admittance Control for the Industrial Robot Stäubli TX60 (ST, MSM, JJS), pp. 1450–1455.
CASE-2019-GildertPT #communication #performance: Comparing The Performance of Explicit and Implicit Communication in Simple Object Manipulation Tasks (NG, AP, JT), pp. 1456–1462.
CASE-2019-HunteY #collaboration #mobile: Collaborative Object Manipulation Through Indirect Control of a Deformable Sheet by a Mobile Robotic Team (KH, JY), pp. 1463–1468.
CASE-2019-TallamrajuSRAKS #multi: Motion Planning for Multi-Mobile-Manipulator Payload Transport Systems (RT, DHS, SR, AA, KK, SVS), pp. 1469–1474.
CASE-2019-EdmondsYSW #generative #multi: Generation of High-Density Hyperspectral Point Clouds of Crops with Robotic Multi-Camera Planning (ME, JY, NKS, LMW), pp. 1475–1480.
CASE-2019-ThayerVGC: Bi-Objective Routing for Robotic Irrigation and Sampling in Vineyards (TCT, SV, KG, SC), pp. 1481–1488.
CASE-2019-WiggertABCVVG #delivery #low cost #named #open source #precise: RAPID-MOLT: A Meso-scale, Open-source, Low-cost Testbed for Robot Assisted Precision Irrigation and Delivery (MW, LA, RB, SC, JV, SV, KG), pp. 1489–1496.
CASE-2019-MowerMDV: Comparing Alternate Modes of Teleoperation for Constrained Tasks (CEM, WM, AD, SV), pp. 1497–1504.
CASE-2019-GuoWYGMA #low cost #robust: Blue Gripper: A Robust, Low-Cost, and Force-Controlled Robot Hand (MG, PW, BY, DVG, SM, PA), pp. 1505–1510.
CASE-2019-ShangWY #design: Design and Gait Control of a Quadruped Robot with Low-Inertia Legs (LS, WW0, JY), pp. 1511–1516.
CASE-2019-YuLTWG #adaptation #design #modelling #validation: An Adaptive Chain-type Treadmill-Based Traction Testbed for the Wheeled Planetary Exploration Rover: Design, Modeling and Experimental Validation (HY, CL, LT, SW, HG), pp. 1517–1523.
CASE-2019-TursynbekNS #parallel: Computation of Unique Kinematic Solutions of a Spherical Parallel Manipulator with Coaxial Input Shafts (IT, AN, AS), pp. 1524–1531.
CASE-2019-HermannHZS: A Joint-Selective Robotic Gripper with Actuation Mode Switching (KH, RH, MZ, AVS), pp. 1532–1539.
CASE-2019-FujitaDKRKSHAFA #multi #using: Bin-picking Robot using a Multi-gripper Switching Strategy based on Object Sparseness (MF, YD, RK, GAGR, KK, KS, RH, RA, HF, SA, MH, AJC, AN, HO, TO), pp. 1540–1547.
CASE-2019-MoritaF #modelling: Modeling Bimorph Piezoelectric Actuator Exhibiting Frequency-Dependent Interleaved Hysteresis with Occasional Odd Harmonic Oscillation (KM, FF), pp. 1548–1554.
CASE-2019-YangSZSWHP #multi #validation: Multiphysics Dynamic Model Validation Methodology for Laser-Driven Microrobots (ZY, MNS, RZ, AS, DW, CKH, DOP), pp. 1555–1561.
CASE-2019-MrochenS #hybrid: Flatness-based Powertrain Control for Engine Start Applications in Hybrid Dual-Clutch Transmissions (MAM, OS), pp. 1562–1567.
CASE-2019-MaoCZZ #fault: An Enhanced POE-Based Method with Identified Transmission Errors for Serial Robotic Kinematic Calibration (CM, ZC, HZ, XZ), pp. 1568–1573.
CASE-2019-ZhangCZXL #detection #fault #learning: Weld Defect Detection Based on Deep Learning Method (HZ, ZC, CZ, JX, XL), pp. 1574–1579.
CASE-2019-WuPZ #algorithm #fault tolerance #heuristic #network: A heuristic pathfinding algorithm for dynamic fault tolerance in manufacturing networks (YW, GP, HZ), pp. 1580–1585.
CASE-2019-PengZZZ #analysis #component #detection #fault #kernel #markov #multi #process: Hidden Markov Model Combined with Kernel Principal Component Analysis for Nonlinear Multimode Process Fault Detection (PP, JZ, YZ, HZ), pp. 1586–1591.
CASE-2019-XiaoH0HZ #detection #fault #using: Surface Defect Detection using Hierarchical Features (LX, TH, BW0, YH, JZ), pp. 1592–1596.
CASE-2019-HerguedasLS #multi: Multi-camera coverage of deformable contour shapes (RH, GLN, CS), pp. 1597–1602.
CASE-2019-GeftTGH #2d #assembly #geometry #robust: Robust 2D Assembly Sequencing via Geometric Planning with Learned Scores (TG, AT, KG, DH), pp. 1603–1610.
CASE-2019-RaineriB #bound #realtime: Jerk limited planner for real-time applications requiring variable velocity bounds (MR, CGLB), pp. 1611–1617.
CASE-2019-RobinsonSP #heuristic #using #visual notation: Bin-Picking using Model-Free Visual Heuristics and Grasp-Constrained Imaging (CR, MNS, DOP), pp. 1618–1624.
CASE-2019-KebriaKJN19a #fuzzy #network #nondeterminism: Type-2 Fuzzy Neural Network Synchronization of Teleoperation Systems with Delay and Uncertainties (PMK, AK, SMJJ, SN), pp. 1625–1630.
CASE-2019-KebriaKJN #adaptation #fuzzy #nondeterminism #robust: Adaptive Type-2 Fuzzy Control Scheme for Robust Teleoperation under Time-Varying Delay and Uncertainties (PMK, AK, SMJJ, SN), pp. 1631–1636.
CASE-2019-ChinnappaC #graph: Average Consensus in Matrix-Weight-Balanced Digraphs (YC, DC), pp. 1637–1642.
CASE-2019-PriggemeyerGR #network: Passive Device Synchronization for the External Control of Robotic Applications in Ethernet Networks based on a Phase-Locked Loop (MP, KG, JR), pp. 1643–1650.
CASE-2019-WuZQX #learning #precise: Deep Reinforcement Learning of Robotic Precision Insertion Skill Accelerated by Demonstrations (XW, DZ, FQ, DX), pp. 1651–1656.
CASE-2019-MathiesenIK: Vision-less Bin-Picking for Small Parts Feeding (SM, II, AK), pp. 1657–1663.
CASE-2019-KrambergerWRMUS #automation #flexibility #process: Automatic Fingertip Exchange System for Robotic Grasping in Flexible Production Processes (AK, AW, MHR, MM, AU, CS), pp. 1664–1669.
CASE-2019-HoangPDZH #configuration management #multi #using: Reconfigurable Multi-UAV Formation Using Angle-Encoded PSO (VTH, MDP, THD, QZ, QPH), pp. 1670–1675.
CASE-2019-SchlotzhauerKWB #2d #collaboration #metric #on the #safety: On the trustability of the safety measures of collaborative robots: 2D Collision-force-map of a sensitive manipulator for safe HRC (AS, LK, JW, MB, MWH), pp. 1676–1683.
CASE-2019-KumarAS #array #monitoring #using: Speed and Separation Monitoring using On-Robot Time-of-Flight Laser-ranging Sensor Arrays (SK, SA, FS), pp. 1684–1691.
CASE-2019-KwiatkowskiLGD: Determining Object Properties from Tactile Events During Grasp Failure (JK, JSL, CG, VD), pp. 1692–1698.
CASE-2019-AyoobiCVV #learning #using: Handling Unforeseen Failures Using Argumentation-Based Learning (HA, MC0, RV, BV), pp. 1699–1704.
CASE-2019-ChengJM #detection #monitoring #process #robust: Data-Efficient Process Monitoring and Failure Detection for Robust Robotic Screwdriving (XC, ZJ, MTM), pp. 1705–1711.
CASE-2019-Zhao0Z #detection #fault: Detecting Intermittent Faults with Moving Average Techniques (YZ, XH0, DZ), pp. 1712–1717.
CASE-2019-BiedigerMB #artificial reality #using: Investigating the survivability of drone swarms with flocking and swarming flight patterns using Virtual Reality (DB, AM, ATB), pp. 1718–1723.
CASE-2019-ChenGL0 #named: InSPeCT: Iterated Local Search for Solving Path Conditions (FC, AG, DL0, SK0), pp. 1724–1729.
CASE-2019-PaczonaM #development #modelling: Model-Driven Mechatronic System Development (MP, HCM), pp. 1730–1736.
CASE-2019-AhlersWH0 #3d #generative: 3D Printing of Nonplanar Layers for Smooth Surface Generation (DA, FW, NH, JZ0), pp. 1737–1743.
CASE-2019-GoeckeSTK #monitoring: Monitoring and Control of the Heat Input in MAG-Laser-Hybrid Welding of High Strength Steel in Telescopic Crane Booms (SFG, TS, DT, AK), pp. 1744–1747.
CASE-2019-FrenchMKA: Robotic additive manufacturing system featuring wire deposition by electric arc for high-value manufacturing (RF, HMR, GKZ, SAH), pp. 1748–1754.
CASE-2019-BenakisDPF #industrial #monitoring #process: Welding Process Monitoring Applications and Industry 4.0 (MB, CD, AP, RF), pp. 1755–1760.
CASE-2019-XuGWBCS #detection #image: U-Net with optimal thresholding for small blob detection in medical images (YX, FG0, TW, KMB, JRC, SS), pp. 1761–1767.
CASE-2019-ChengT #flexibility #tool support #using: Control of a mechatronics-assisted system for surgeries using flexible tools (LC, MT), pp. 1768–1773.
CASE-2019-ChengFT: Semi-Autonomous Surgical Robot Control for Beating-Heart Surgery (LC, JF, MT), pp. 1774–1781.
CASE-2019-Reveliotis #coordination: An MPC scheme for traffic coordination in open and irreversible, zone-controlled, guidepath-based transport systems (SAR), pp. 1782–1788.
CASE-2019-KrupkeSHPDGLSHK #automation #distributed #retrieval #scalability: Automated Data Retrieval from Large-Scale Distributed Satellite Systems (DK, VS, AH, MP, JD, BG, MKBL, ES, TH, HK, KFP, MC, CS, SPF), pp. 1789–1795.
CASE-2019-MaggipintoSZM #case study #fault #multi #predict #process #what: What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction (MM, GAS, FZ, SFM), pp. 1796–1801.
CASE-2019-TsayL #automation #multi #network #visual notation: Automating Visual Inspection of Lyophilized Drug Products With Multi-Input Deep Neural Networks (CT, ZL), pp. 1802–1807.
CASE-2019-PonrajPLBZKTS0 #array: Active Contact Enhancements With Stretchable Soft Layers and Piezoresistive Tactile Array for Robotic Grippers (GP, AVP, CL, AB, GZ, SKK, NVT, ABS, HR0), pp. 1808–1813.
CASE-2019-BurnsFP #robust: A Robust Polyurethane Depositing System for Overcoming Obstacles in Disaster Scenario Robotics (AJB, SF, PP), pp. 1814–1820.
CASE-2019-OrtenziMRAS: Singularity-Robust Inverse Kinematics Solver for Tele-manipulation (VO, NM, VR, MA, RS), pp. 1821–1828.
CASE-2019-SteffenHKWURRD #memory management: Creating an Obstacle Memory Through Event-Based Stereo Vision and Robotic Proprioception (LS, BH, JK, JW, SU, DR, AR, RD), pp. 1829–1836.
CASE-2019-YamadaFWMUT #named: WInBot: A Disc Cutter Wear Inspection Robot for a Tunnel Boring Machine (YY, RF, SW, EM, MU, ST), pp. 1837–1843.

Proceedings of the 15th International Conference on Automation Science and EngineeringCASE, 2019.

Contents (292 items)

Proceedings of the 15th International Conference on Automation Science and Engineering
CASE, 2019.