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

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@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, ), 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, ), 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.

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