Publikationer av Xi Wang
Refereegranskade
Artiklar
[1]
Z. Zhou et al., "Learning accurate and efficient three-finger grasp generation in clutters with an auto-annotated large-scale dataset," Robotics and Computer-Integrated Manufacturing, vol. 91, 2025.
[2]
S. Zhang et al., "A blockchain-empowered secure federated domain generalization framework for machinery fault diagnosis," Advanced Engineering Informatics, vol. 62, 2024.
[3]
X. V. Wang et al., "A literature survey of smart manufacturing systems for medical applications," Journal of manufacturing systems, vol. 76, s. 502-519, 2024.
[4]
Y. Liu et al., "An Auction-Based Approach for Multi-Agent Uniform Parallel Machine Scheduling with Dynamic Jobs Arrival," Engineering, vol. 35, s. 32-45, 2024.
[5]
S. Wei et al., "An improved memetic algorithm for multi-objective resource-constrained flexible job shop inverse scheduling problem : An application for machining workshop," Journal of manufacturing systems, vol. 74, s. 264-290, 2024.
[6]
T. Wang et al., "Data-efficient multimodal human action recognition for proactive human–robot collaborative assembly: A cross-domain few-shot learning approach," Robotics and Computer-Integrated Manufacturing, vol. 89, 2024.
[7]
X. Li et al., "Flexible Job Shop Composite Dispatching Rule Mining Approach Based on an Improved Genetic Programming Algorithm," Tsinghua Science and Technology, vol. 29, no. 5, s. 1390-1408, 2024.
[8]
X. Li et al., "Joint scheduling optimisation method for the machining and heat-treatment of hydraulic cylinders based on improved multi-objective migrating birds optimisation," Journal of manufacturing systems, vol. 73, s. 170-191, 2024.
[9]
X. Li et al., "Knowledge graph based OPC UA information model automatic construction method for heterogeneous devices integration," Robotics and Computer-Integrated Manufacturing, vol. 88, 2024.
[10]
X. Chen et al., "Reinforcement learning for distributed hybrid flowshop scheduling problem with variable task splitting towards mass personalized manufacturing," Journal of manufacturing systems, vol. 76, s. 188-206, 2024.
[11]
S. Yi et al., "Safety-aware human-centric collaborative assembly," Advanced Engineering Informatics, vol. 60, 2024.
[12]
H. Zhou et al., "An attention-based deep learning approach for inertial motion recognition and estimation in human-robot collaboration," Journal of manufacturing systems, vol. 67, s. 97-110, 2023.
[13]
Q. Ji et al., "Design and calibration of 3D printed soft deformation sensors for soft actuator control," Mechatronics (Oxford), vol. 92, s. 102980-102980, 2023.
[14]
S. Pang et al., "Dual-Dimensional Manufacturing Service Collaboration Optimization Toward Industrial Internet Platforms," ENGINEERING, vol. 22, s. 34-48, 2023.
[15]
P. Jiang et al., "Energy consumption prediction and optimization of industrial robots based on LSTM," Journal of manufacturing systems, vol. 70, s. 137-148, 2023.
[16]
Z. Guo et al., "Exploring self-organization and self-adaption for smart manufacturing complex networks," Frontiers of Engineering Management, vol. 10, no. 2, s. 206-222, 2023.
[17]
S. Li et al., "Proactive human-robot collaboration : Mutual-cognitive, predictable, and self-organising perspectives," Robotics and Computer-Integrated Manufacturing, vol. 81, s. 102510, 2023.
[18]
S. Li et al., "Self-organising multiple human-robot collaboration : A temporal subgraph reasoning-based method," Journal of manufacturing systems, vol. 68, s. 304-312, 2023.
[19]
Y. Liu et al., "An iterative combinatorial auction mechanism for multi-agent parallel machine scheduling," International Journal of Production Research, vol. 60, no. 1, s. 361-380, 2022.
[20]
D. Kong et al., "Bioinspired Co-Design of Tactile Sensor and Deep Learning Algorithm for Human-Robot Interaction," ADVANCED INTELLIGENT SYSTEMS, vol. 4, no. 6, 2022.
[21]
Q. Ji et al., "Customized protective visors enabled by closed loop controlled 4D printing," Scientific Reports, vol. 12, no. 1, 2022.
[22]
S. Liu, X. V. Wang och L. Wang, "Digital twin-enabled advance execution for human-robot collaborative assembly," CIRP annals, vol. 71, no. 1, s. 25-28, 2022.
[23]
M. Givehchi et al., "Function block-enabled operation planning and machine control in Cloud-DPP," International Journal of Production Research, s. 1-17, 2022.
[24]
T. Fuoco et al., "Hydrogel Polyester Scaffolds via Direct-Ink-Writing of Ad Hoc Designed Photocurable Macromonomer," Polymers, vol. 14, no. 4, 2022.
[25]
S. Liu, L. Wang och X. V. Wang, "Multimodal Data-Driven Robot Control for Human-Robot Collaborative Assembly," Journal of manufacturing science and engineering, vol. 144, no. 5, 2022.
[26]
Q. Ji et al., "Online reinforcement learning for the shape morphing adaptive control of 4D printed shape memory polymer," Control Engineering Practice, vol. 126, s. 105257-105257, 2022.
[27]
Q. Ji et al., "Optimal shape morphing control of 4D printed shape memory polymer based on reinforcement learning," Robotics and Computer-Integrated Manufacturing, vol. 73, 2022.
[28]
Y. Hu et al., "Optimization of manufacturers based on agent in cloud manufacturing," International Journal of Modeling, Simulation, and Scientific Computing, 2022.
[29]
Q. Ji et al., "Synthesizing the optimal gait of a quadruped robot with soft actuators using deep reinforcement learning," Robotics and Computer-Integrated Manufacturing, vol. 78, s. 102382-102382, 2022.
[30]
Y. Gao et al., "A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence," Journal of manufacturing systems, 2021.
[31]
P. Liu et al., "A generalized method for the inherent energy performance modeling of machine tools," Journal of manufacturing systems, vol. 61, s. 406-422, 2021.
[32]
X. V. Wang och L. Wang, "A literature survey of the robotic technologies during the COVID-19 pandemic," Journal of manufacturing systems, vol. 60, s. 823-836, 2021.
[33]
E. Murena et al., "Development and performance evaluation of a web-based feature extraction and recognition system for sheet metal bending process planning operations," International journal of computer integrated manufacturing (Print), vol. 34, no. 6, s. 598-620, 2021.
[34]
Q. Ji et al., "Feedback control for the precise shape morphing of 4D printed shape memory polymer," IEEE Transactions on Industrial Electronics, s. 12698-12707, 2021.
[35]
L. Wang et al., "Function block-based human-robot collaborative assembly driven by brainwaves," CIRP annals, vol. 70, no. 1, s. 5-8, 2021.
[36]
S. Liu, L. Wang och X. V. Wang, "Function block-based multimodal control for symbiotic human-robot collaborative assembly," Journal of manufacturing science and engineering, vol. 143, no. 9, s. 1-10, 2021.
[37]
M. M. Mabkhot et al., "Mapping Industry 4.0 Enabling Technologies into United Nations Sustainability Development Goals," Sustainability, vol. 13, no. 5, 2021.
[38]
S. Liu, L. Wang och X. V. Wang, "Sensorless force estimation for industrial robots using disturbance observer and neural learning of friction approximation," Robotics and Computer-Integrated Manufacturing, vol. 71, s. 1-11, 2021.
[39]
S. Liu, L. Wang och X. V. Wang, "Sensorless haptic control for human-robot collaborative assembly," CIRP - Journal of Manufacturing Science and Technology, vol. 32, s. 132-144, 2021.
[40]
Y. Gao et al., "A Multilevel Information Fusion-Based Deep Learning Method for Vision-Based Defect Recognition," IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 7, s. 3980-3991, 2020.
[41]
Y. Ye et al., "A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor," IEEE Access, vol. 8, s. 45325-45342, 2020.
[42]
X. V. Wang et al., "Closed-loop augmented reality towards accurate human-robot collaboration," CIRP annals, vol. 69, no. 1, s. 425-428, 2020.
[43]
P. Wang et al., "Linking Emergence to the Complex Product System," IEEE Access, vol. 8, s. 34286-34298, 2020.
[44]
S. Liu et al., "An 'Internet of Things' enabled dynamic optimization method for smart vehicles and logistics tasks," Journal of Cleaner Production, vol. 215, s. 806-820, 2019.
[45]
Y. Liu et al., "Cloud manufacturing : key issues and future perspectives," International journal of computer integrated manufacturing (Print), vol. 32, no. 9, s. 858-874, 2019.
[46]
Y. Zhang et al., "Data-driven smart production line and its common factors," The International Journal of Advanced Manufacturing Technology, vol. 103, no. 1-4, s. 1211-1223, 2019.
[47]
X. V. Wang och L. Wang, "Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0," International Journal of Production Research, vol. 57, no. 12, s. 3892-3902, 2019.
[48]
B. Lian, L. Wang och X. V. Wang, "Elastodynamic modeling and parameter sensitivity analysis of a parallelmanipulator with articulated traveling plate," The International Journal of Advanced Manufacturing Technology, 2019.
[49]
Y. Liu et al., "Scheduling in cloud manufacturing : state-of-the-art and research challenges," International Journal of Production Research, vol. 57, no. 15-16, s. 4854-4879, 2019.
[50]
B. Lian, X. V. Wang och L. Wang, "Static and dynamic optimization of a pose adjusting mechanism considering parameter changes during construction," Robotics and Computer-Integrated Manufacturing, vol. 59, s. 267-277, 2019.
[51]
L. Wang et al., "Symbiotic human-robot collaborative assembly," CIRP annals, vol. 68, no. 2, s. 701-726, 2019.
[52]
Y. Liu et al., "A Revisit to Cloud Manufacturing," Zhongguo Jixie Gongcheng/China Mechanical Engineering, vol. 29, no. 18, s. 2226-2237, 2018.
[53]
L. Wang et al., "Editorial : Smart Manufacturing at CIRP CMS 2018," Procedia CIRP, vol. 72, s. 1-2, 2018.
[54]
L. Wang et al., "Energy-efficient robot applications towards sustainable manufacturing," International journal of computer integrated manufacturing (Print), vol. 31, no. 8, s. 692-700, 2018.
[55]
X. V. Wang, L. Wang och R. Goerdes, "Interoperability in cloud manufacturing : a case study on private cloud structure for SMEs," International journal of computer integrated manufacturing (Print), vol. 31, no. 7, s. 653-663, 2018.
[56]
Y. Cui et al., "Research on measurement of cutting area temperature and its prediction model," International Journal of Manufacturing Research, vol. 13, no. 3, s. 209-226, 2018.
[57]
X. V. Wang och L. Wang, "A cloud-based production system for information and service integration : an internet of things case study on waste electronics," Enterprise Information Systems, vol. 11, no. 7, s. 952-968, 2017.
[58]
X. V. Wang et al., "Human-robot collaborative assembly in cyber-physical production : Classification framework and implementation," CIRP annals, vol. 66, no. 1, s. 5-8, 2017.
[59]
X. V. Wang et al., "Ubiquitous manufacturing system based on Cloud : A robotics application," Robotics and Computer-Integrated Manufacturing, vol. 45, s. 116-125, 2017.
[60]
X. V. Wang et al., "A Smart Cloud-Based System for the WEEE Recovery/Recycling," Journal of manufacturing science and engineering, vol. 137, no. 6, 2015.
[61]
L. Wang et al., "A cloud-based approach for WEEE remanufacturing," CIRP annals, vol. 63, no. 1, s. 409-412, 2014.
[62]
X. V. Wang och L. Wang, "From Cloud manufacturing to Cloud remanufacturing : A Cloud-based approach for WEEE recovery," Manufacturing Letters, vol. 2, no. 4, s. 91-95, 2014.
[63]
X. Wang och X. Xu, "Virtualise manufacturing capabilities in the cloud : Requirements, architecture and implementation," International Journal of Manufacturing Research, vol. 9, no. 4, s. 348-368, 2014.
[64]
X. V. Wang och X. W. Xu, "A Collaborative Product Data Exchange Environment Based on STEP," International Journal of Computer Integrated Manufacturing, vol. 28, no. 1, s. 75-86, 2013.
[65]
X. V. Wang och X. W. Xu, "An Interoperable Solution for Cloud Manufacturing," Robotics and Computer-Integrated Manufacturing, vol. 29, no. 4, s. 232-247, 2013.
[66]
X. V. Wang och X. W. Xu, "DIMP: An Interoperable Solution for Software Integration and Product Data Exchange," International Journal of Enterprise Information Systems, vol. 6, no. 3, s. 291-314, 2013.
[67]
X. V. Wang och X. W. Xu, "Virtual Function Block Mechanism in the Cloud Manufacturing Environment," Advanced Materials Research, vol. 694-967, s. 2438-2441, 2013.
Konferensbidrag
[68]
M. Chodnicki et al., "Project-Based Collaborative Research and Training Roadmap for Manufacturing Based on Industry 4.0," i Flexible Automation and Intelligent Manufacturing : Establishing Bridges for More Sustainable Manufacturing Systems, 2024, s. 708-715.
[69]
S. Liu et al., "Vision-language model-driven scene understanding and robotic object manipulation," i 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024, 2024, s. 21-26.
[70]
S. Li et al., "Towards Mutual-Cognitive Human-Robot Collaboration : A Zero-Shot Visual Reasoning Method," i 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023, 2023.
[71]
S. Yi et al., "A vision-based human-robot collaborative system for digital twin," i Procedia CIRP, 2022, s. 552-557.
[72]
Y. Jeong et al., "Digital Twin-Based Services and Data Visualization of Material Handling Equipment in Smart Production Logistics Environment," i Advances in Production Management Systems. Smart Manufacturing and Logistics Systems : Turning Ideas into Action, 2022, s. 556-564.
[73]
Q. Ji et al., "Omnidirectional walking of a quadruped robot enabled by compressible tendon-driven soft actuators," i 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, October 23–27, 2022, 2022, s. 11015-11022.
[74]
X. V. Wang et al., "A machine learning-based image processing approach for robotic assembly system," i Procedia CIRP, 2021, s. 906-911.
[75]
S. Thorapalli Muralidharan et al., "A soft quadruped robot enabled by continuum actuators," i 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), 2021, s. 834-840.
[76]
S. Liu et al., "Leveraging multimodal data for intuitive robot control towards human-robot collaborative assembly," i Procedia CIRP of the 54th Conference on Manufacturing Systems, 2021, s. 206-211.
[77]
Q. Ji et al., "A Flexible 4D Printing Service Platform for Smart Manufacturing," i Swedish Production Symposium, 2020.
[78]
S. Liu et al., "A Framework of Data-Driven Dynamic Optimisation for Smart Production Logistics," i APMS 2020: Advances in Production Management Systems. Towards Smart and Digital Manufacturing, 2020, s. 213-221.
[79]
X. V. Wang et al., "A human-robot collaboration system towards high accuracy," i Procedia CIRP, 2020, s. 1085-1090.
[80]
S. Liu et al., "Complex-Network-Based Cyber-Physical Production Systems Subject to Cascading Failures," i Proceedings of 8th Swedish Production Symposium, 2020, s. 395-406.
[81]
Q. Ji et al., "Design and closed loop control of a 3D printed soft actuator," i 2020 16th IEEE International Conference on Automation Science and Engineering (CASE), 2020, s. 842-848.
[82]
L. Wang et al., "Overview of Human-Robot Collaboration in Manufacturing," i Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing, 2020, s. 15-58.
[83]
X. V. Wang och L. Wang, "Safety strategy in the smart manufacturing system : A human robot collaboration case study," i ASME 2020 15th International Manufacturing Science and Engineering Conference, MSEC 2020, 2020.
[84]
M. Chen et al., "Study on Efficient Fused Deposition Modelling of Thermoplastic Polyurethane Inflatable Wall Features for Airtightness," i Swedish Production Symposium 2020, 2020.
[85]
S. Liu, L. Wang och X. V. Wang, "Symbiotic human-robot collaboration : Multimodal control using function blocks," i Procedia CIRP, 2020, s. 1188-1193.
[86]
K. Peng et al., "A new joint data-model driven dynamic scheduling architecture for intelligent workshop," i Proceedings of the ASME 14th International Manufacturing Science and Engineering Conference, 2019, vol 1, 2019.
[87]
X. V. Wang, C. Wang och L. Wang, "Robots in the industrial internet : A cloud-based approach based on gateways," i Proceedings of ASME 2019 14th International Manufacturing Science and Engineering Conference, MSEC 2019, 2019.
[88]
M. Eriyeti et al., "Web-based process planning system concept selection using Weighted Decision Matrix and Analytical Hierarchy Process : A case study of sheet metal bending operations," i Procedia Manufacturing, 2019, s. 462-469.
[89]
X. V. Wang, A. Seira och L. Wang, "Classification, personalised safety framework and strategy for human-robot collaboration," i Proceedings of International Conference on Computers and Industrial Engineering, CIE, 2018.
[90]
Y. Liu, L. Wang och X. V. Wang, "Cloud manufacturing : Latest advancements and future trends," i Procedia Manufacturing, 2018, s. 62-73.
[91]
S. Liu et al., "Energy-efficient trajectory planning for an industrial robot using a multi-objective optimisation approach," i Procedia Manufacturing, 2018, s. 517-525.
[92]
S. Grahn et al., "Exploring a Model for Production System Design to Utilize Large Robots in Human-Robot Collaborative Assembly Cells," i Procedia Manufacturing, 2018, s. 612-619.
[93]
Y. Liu et al., "Multi-agent-based scheduling in cloud manufacturing with dynamic task arrivals," i Procedia CIRP, 2018, s. 953-960.
[94]
Y. Cui et al., "Research on milling temperature measuring tool embedded with NiCr/NiSi thin film thermocouple," i 51st CIRP Conference on Manufacturing Systems, 2018, s. 1457-1462.
[95]
R. Senington, B. Pataki och X. V. Wang, "Using docker for factory system software management : Experience report," i Procedia CIRP, 2018, s. 659-664.
[96]
X. V. Wang och L. Wang, "Interoperability in cloud manufacturing and practice on private cloud structure for SMEs," i ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing, 2017.
[97]
X. V. Wang, M. Givehchi och L. Wang, "Manufacturing System on the Cloud : A Case Study on Cloud-based Process Planning," i 50th CIRP Conference on Manufacturing Systems, CIRP CMS 2017, 2017, s. 39-45.
[98]
W. Zhao et al., "A CLOUD-BASED APPROACH TO SUPPORT THE MOBILE PHONE RECYCLING INDUSTRY IN CHINA," i ASME 2016 11th International Manufacturing Science and Engineering Conference, MSEC 2016, 2016.
[99]
X. V. Wang, A. Mohammed och L. Wang, "Cloud-based Robotic System : Architecture Framework and Deployment Models," i Proceedings of International Conference on Advanced Technology & Sciences, 2015, s. 297-306.
[100]
X. V. Wang och L. Wang, "FUNCTION BLOCK-BASED INTEGRATION MECHANISMS FOR ADAPTIVE AND FLEXIBLE CLOUD MANUFACTURING," i PROCEEDINGS OF THE ASME 10TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, 2015, VOL 2, 2015.
[101]
X. V. Wang, L. Wang och M. Givehchi, "ICMS : A Cloud-Based System for Production Management," i ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS : INNOVATIVE PRODUCTION MANAGEMENT TOWARDS SUSTAINABLE GROWTH (AMPS 2015), PT II, 2015, s. 444-451.
[102]
X. V. Wang och L. Wang, "WR cloud : a Novel WEEE Remanufacturing Cloud System," i 22nd CIRP Conference on Life Cycle Engineering, 2015, s. 786-791.
[103]
X. V. Wang och L. Wang, "A Cloud-Based Platform for Waste Electrical and Electronic Equipment (WEEE) Recovery," i Proceedings of the 6th International Swedish Production Symposium, 2014.
[104]
X. V. Wang et al., "A smart Cloud-based system for the WEEE Recovery/recycling," i ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference, 2014.
[105]
X. V. Wang och X. Xu, "Cloud manufacturing in support of sustainability," i ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference, 2014.
[106]
B. Lu et al., "Reusability based on life cycle sustainability assessment : Case study on WEEE," i Procedia CIRP, 2014, s. 473-478.
[107]
X. V. Wang, L. Wang och L. Gao, "From Cloud Manufacturing to Cloud Remanufacturing : A Cloud-Based Approach for WEEE," i Proceedings - 2013 IEEE 10th International Conference on e-Business Engineering, ICEBE 2013, 2013, s. 399-406.
Icke refereegranskade
Artiklar
[108]
B. Wang et al., "Human-centric smart manufacturing," Journal of manufacturing systems, vol. 69, s. 18-19, 2023.
[109]
Y. Liu et al., "Industrial Internet for Manufacturing," Robotics and Computer-Integrated Manufacturing, vol. 70, 2021.
Böcker
[110]
Kapitel i böcker
[111]
D. Mourtzis et al., "Modelling, Design and Simulation as-a-Service Based on Extended Reality (XR) in Industry 4.0," i CIRP Novel Topics in Production Engineering: Volume 1, : Springer Nature, 2024, s. 99-143.
[112]
Q. Ji et al., "Development of a 3D Printed Multi-Axial Force Sensor," i Advances in Transdisciplinary Engineering, : IOS Press, 2022.
[113]
X. V. Wang och L. Wang, "Augmented reality enabled human-robot collaboration," i Advanced Human-Robot Collaboration in Manufacturing, : Springer Nature, 2021, s. 395-411.
[114]
L. Wang et al., "Future research directions on human-robot collaboration," i Advanced Human-Robot Collaboration in Manufacturing, : Springer Nature, 2021, s. 439-448.
[115]
Z. Kemény et al., "Human-robot collaboration in manufacturing : A multi-agent view," i Advanced Human-Robot Collaboration in Manufacturing, : Springer Nature, 2021, s. 3-41.
[116]
[117]
X. V. Wang och L. Wang, "Safety strategy and framework for human-robot collaboration," i Advanced Human-Robot Collaboration in Manufacturing, : Springer Nature, 2021, s. 69-87.
[118]
S. Liu, L. Wang och X. V. Wang, "Sensorless haptic control for physical human-robot interaction," i Advanced Human-Robot Collaboration in Manufacturing, : Springer Nature, 2021, s. 319-350.
[119]
X. Xu et al., "Manufacturing Systems," i Handbook of Manufacturing, : World Scientific Pub Co Pte Ltd, 2019, s. 609-708.
Samlingsverk (redaktörskap)
[120]
"Advanced human-robot collaboration in manufacturing," , Springer Nature, 2021.
Övriga
[121]
Q. Ji et al., "Precise control of a 3D printed soft actuator with soft position sensors," (Manuskript).
Senaste synkning med DiVA:
2024-11-19 01:08:33