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