Publications
Publications within Sustainable Production Systems
[1]
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.
[2]
T. Fuoco et al.,
"Hydrogel Polyester Scaffolds via Direct-Ink-Writing of Ad Hoc Designed Photocurable Macromonomer,"
Polymers, vol. 14, no. 4, 2022.
[3]
S. Li et al.,
"Toward Proactive Human-Robot Collaborative Assembly : A Multimodal Transfer-Learning-Enabled Action Prediction Approach,"
IEEE transactions on industrial electronics (1982. Print), vol. 69, no. 8, pp. 8579-8588, 2022.
[4]
T. K. Agrawal et al.,
"Demonstration of a blockchain-based framework using smart contracts for supply chain collaboration,"
International Journal of Production Research, pp. 1-20, 2022.
[5]
J. Jiang et al.,
"The state of the art of search strategies in robotic assembly,"
Journal of Industrial Information Integration, vol. 26, 2022.
[6]
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.
[7]
[8]
Y. Shi et al.,
"A Cognitive Digital Twins Framework for Human-Robot Collaboration,"
in 3Rd International Conference On Industry 4.0 And Smart Manufacturing, 2022, pp. 1867-1874.
[9]
X. Li et al.,
"Systematic review on tool breakage monitoring techniques in machining operations,"
International journal of machine tools & manufacture, vol. 176, 2022.
[10]
S. Liu,
"Multimodal Human-Robot Collaboration in Assembly,"
Doctoral thesis Brinellvägen 68, 114 28 Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-ITM-AVL, 2022:12, 2022.
[11]
A. Zhang et al.,
"Velocity effect sensitivity analysis of ball-end milling Ti-6Al-4 V,"
The International Journal of Advanced Manufacturing Technology, vol. 118, no. 11-12, pp. 3963-3982, 2022.
[12]
Q. Ji et al.,
"Customized protective visors enabled by closed loop controlled 4D printing,"
Scientific Reports, vol. 12, no. 1, 2022.
[13]
C. Yang et al.,
"Cloud-edge-device collaboration mechanisms of deep learning models for smart robots in mass personalization,"
Robotics and Computer-Integrated Manufacturing, vol. 77, pp. 102351, 2022.
[14]
H. Liu and L. Wang,
"Collision-free human-robot collaboration based on context awareness,"
Robotics and Computer-Integrated Manufacturing, vol. 67, 2021.
[15]
H. Liang et al.,
"Logistics-involved QoS-aware service composition in cloud manufacturing with deep reinforcement learning,"
Robotics and Computer-Integrated Manufacturing, vol. 67, 2021.
[16]
K. Kang et al.,
"Auction-based cloud service allocation and sharing for logistics product service system,"
Journal of Cleaner Production, vol. 278, 2021.
[17]
C. Yang et al.,
"Transforming Hong Kong's warehousing industry with a novel business model : A game-theory analysis,"
Robotics and Computer-Integrated Manufacturing, vol. 68, 2021.
[18]
S. Treber et al.,
"Robust optimization of information flows in global production networks using multi-method simulation and surrogate modelling,"
CIRP - Journal of Manufacturing Science and Technology, vol. 32, pp. 491-506, 2021.
[19]
F. Tao et al.,
"Digital twin towards smart manufacturing and industry 4.0,"
Journal of manufacturing systems, vol. 58, pp. 1-2, 2021.
[20]
B. Meng et al.,
"Uniformity, Periodicity and Symmetry Characteristics of Forces Fluctuation in Helical-Edge Milling Cutter,"
Applied Sciences, vol. 11, no. 6, 2021.
[21]
Y. Liu et al.,
"Industrial Internet for Manufacturing,"
Robotics and Computer-Integrated Manufacturing, vol. 70, 2021.
[22]
X.-C. Xi et al.,
"Velocity planning in multi-axis EDM based on a coder-player architecture,"
Journal of manufacturing systems, vol. 59, pp. 299-309, 2021.
[23]
Y. Lu et al.,
"y Humans Are Not Machines-Anthropocentric Human-Machine Symbiosis for Ultra-Flexible Smart Manufacturing,"
ENGINEERING, vol. 7, no. 6, pp. 734-737, 2021.
[24]
S. Gu et al.,
"Gaze Estimation via a Differential Eyes' Appearances Network with a Reference Grid,"
ENGINEERING, vol. 7, no. 6, pp. 777-786, 2021.
[25]
X. Xu et al.,
"Smart and resilient manufacturing in the wake of COVID-19,"
Journal of manufacturing systems, vol. 60, pp. 707-708, 2021.
[26]
Y. Wang et al.,
"Digital twin enhanced fault prediction for the autoclave with insufficient data,"
Journal of manufacturing systems, vol. 60, pp. 350-359, 2021.
[27]
S. Li et al.,
"Towards proactive human-robot collaboration : A foreseeable cognitive manufacturing paradigm,"
Journal of manufacturing systems, vol. 60, pp. 547-552, 2021.
[28]
A. de Giorgio et al.,
"Assessing the influence of expert video aid on assembly learning curves,"
, 2021.
[29]
[30]
A. de Giorgio et al.,
"Towards online reinforced learning of assembly sequence planning with interactive guidance systems for industry 4.0 adaptive manufacturing,"
Journal of manufacturing systems, vol. 60, pp. 22-34, 2021.
[31]
Q. Ji et al.,
"Feedback control for the precise shape morphing of 4D printed shape memory polymer,"
IEEE transactions on industrial electronics (1982. Print), pp. 12698-12707, 2021.
[32]
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.
[33]
N. A. Theissen et al.,
"Quasi-Static Compliance Calibration ofSerial Articulated Industrial Manipulators,"
International Journal of Automation Technology, no. 5, pp. 590-598, 2021.
[34]
X. Li et al.,
"A data-driven approach for tool wear recognition and quantitative prediction based on radar map feature fusion,"
Measurement, vol. 185, 2021.
[35]
X. Xu et al.,
"Industry 4.0 and Industry 5.0-Inception, conception and perception,"
Journal of manufacturing systems, vol. 61, pp. 530-535, 2021.
[36]
X. Liu et al.,
"Feature extraction of milling chatter based on optimized variational mode decomposition and multi-scale permutation entropy,"
The International Journal of Advanced Manufacturing Technology, vol. 114, no. 9-10, pp. 2849-2862, 2021.
[37]
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.
[38]
M. M. Mabkhot et al.,
"Mapping Industry 4.0 Enabling Technologies into United Nations Sustainability Development Goals,"
Sustainability, vol. 13, no. 5, 2021.
[39]
B. Meng et al.,
"Research Progress on the Architecture and Key Technologies of Machine Tool Intelligent Control System,"
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, vol. 57, no. 9, pp. 147-166, 2021.
[40]
P. Troll, K. Szipka and A. Archenti,
"Performance evaluation of LiDAR-based position measurement system,"
in Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021, 2021, pp. 325-326.
[41]
N. A. Theissen et al.,
"Measurementand identification of dynamic translational stiffness matrix on machine tools understatic preloads,"
in European Society for Precision Engineering and Nanotechnology: 21stInternational Conference and Exhibition 7th – 11th June 2021., 2021.
[42]
A. Haghighi, A. Mohammed and L. Wang,
"Energy efficient multi-robotic 3d printing for large-scale construction - Framework, challenges, and a systematic approach,"
in Proceedings of the ASME 2021 16th International Manufacturing Science and Engineering Conference, MSEC 2021, 2021.
[43]
J. Yao et al.,
"Robotic grasping training using deep reinforcement learning with policy guidance mechanism,"
in Proceedings of the ASME 2021 16th International Manufacturing Science and Engineering Conference, MSEC 2021, 2021.
[44]
X. Liu et al.,
"Intelligent Management and Control Technology of Cutting Tool Life-cycle for Intelligent Manufacturing,"
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, vol. 57, no. 10, pp. 196-219, 2021.
[45]
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.
[46]
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.
[47]
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.
[48]
A. de Giorgio et al.,
"Measuring the effect of automatically authored video aid on assembly time for procedural knowledge transfer among operators in adaptive assembly stations,"
International Journal of Production Research, 2021.
[49]
C. Zhao, L. Wang and X. Zhang,
"Service agent networks in cloud manufacturing : Modeling and evaluation based on set-pair analysis,"
Robotics and Computer-Integrated Manufacturing, vol. 65, 2020.
[50]
Y. Lu, X. Xu and L. Wang,
"Smart manufacturing process and system automation - A critical review of the standards and envisioned scenarios,"
Journal of manufacturing systems, vol. 56, pp. 312-325, 2020.