Comprehensive modelling and simulation towards the identification of critical parameters for evaluation of exoskeleton-centred workplaces
Constantinescu, C.; Todorovic, O.; Ippolito, D.
Procedia CIRP 79: 176-179
2019
ISSN/ISBN: 2212-8271 DOI: 10.1016/j.procir.2019.02.040
Accession: 082581955
Full-Text Article emailed within 0-6 h
Payments are secure & encrypted

References
Ojstersek, R.; Javernik, A.; Buchmeister, B. 2024: Integrating simulation modelling for sustainable, human-centred Industry 5.0: ESG-based evaluation in collaborative workplaces Advances in Production Engineering and Management 19(4): 527-538Ippolito, D.; Constantinescu, C.; Riedel, O. 2020: Holistic planning and optimization of human-centred workplaces with integrated Exoskeleton technology Procedia CIRP 88: 214-217
Wei Ren, J.L.; Kwok, T.M. 2024: A Practical Sensing Interface for Exoskeleton Evaluation in Workplaces Using Interface Forces IEEE International Conference on Robotics and Biomimetics, ROBIO (2024): 1482-1487
Naegel, A.; Hansen, S.; Neumann, D.; Lehr, C.-M.; Schaefer, U.F.; Wittum, G.; Heisig, M. 2008: In-silico model of skin penetration based on experimentally determined input parameters. Part II: mathematical modelling of in-vitro diffusion experiments. Identification of critical input parameters European Journal of Pharmaceutics and Biopharmaceutics: Official Journal of Arbeitsgemeinschaft für Pharmazeutische Verfahrenstechnik E.V 68(2): 368-379
Szternfeld, P.; Demoury, C.; Brian, W.; Michelet, J.-Y.; Van Leeuw, V.; Van Hoeck, E.; Joly, L. 2023: Modelling the pesticide transfer during tea and herbal tea infusions by the identification of critical infusion parameters Food Chemistry 429: 136893
Naegel, A.; Hansen, S.; Neumann, D.; Lehr, C.-Michael; Schaefer, U., F.; Wittum, G.; Heisig, M. 2008: In-silico model of skin penetration based on experimentally determined input parameters Part II Mathematical modelling of in-vitro diffusion experiments Identification of critical input parameters vol 68, pg 368, 2008 European Journal of Pharmaceutics and Biopharmaceutics 68(3): 846
Saeed, M.T.; Qin, S. 2019: Comprehensive Modeling and Simulation of an Anthropomorphic Robotic Exoskeleton for Rehabilitation Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019: 347-352
Lin, J.; Ren, T.; Wang, G.; Nemcik, J. 2018: Simulation investigation of N2-injection enhanced gas drainage: Model development and identification of critical parameters Journal of Natural Gas Science and Engineering 55: 30-41
de Kruif, B J.; Schmidhauser, E; Stadler, K S.; O'Sullivan, L W. 2017: Simulation Architecture for Modelling Interaction Between User and Elbow-articulated Exoskeleton Journal of Bionic Engineering 14(4): 706-715
Licht, T.; Schmidt, L.; Schlick, C.M.; Dohmen, L.; Luczak, H. 2007: Person-centred simulation of product development processes : Process modelling and simulation for product design and realisation International Journal of Simulation and Process Modelling 3(4): 204-218
Ashkani, O.; Maleki, A.; Jamshidi, N. 2017: Design, simulation and modelling of auxiliary exoskeleton to improve human gait cycle Australasian Physical and Engineering Sciences in Medicine 40(1): 137-144
El-Agroudy, M.N.; Awad, M.I.; Maged, S.A. 2021: Soft Finger Modelling and Co-Simulation Control towards Assistive Exoskeleton Hand Glove Micromachines 12(2)
Wilkinson, K.J.; Buffle, J. 2004: Critical evaluation of physicochemical parameters and processes for modelling the biological uptake of trace metals in environmental (aquatic) systems Physicochemical Kinetics and Transport at Biointerfaces: 445-533
Khamar, M.; Edrisi, M.; Zahiri, M. 2019: Human-exoskeleton control simulation, kinetic and kinematic modeling and parameters extraction Methodsx 6: 1838-1846
Marcinkowski, D.; Fik-Jaskołka, M.A.; Gorczynski, A.; Patroniak, V.; Kubicki, M.; Stefaniuk, I.; Slusarski, T.; Acıkgoz, M.; Piwowarska, D.; Gnutek, P.; Korabik, M.J.; Karbowiak, M.ław; Rudowicz, C.ław 2025: Critical evaluation of ambiguities in computational modelling of zero-field splitting parameters – case study: trigonal and triclinic dinuclear Gd3+ complexes Journal of Magnetism and Magnetic Materials 633: 173546
Huang, C.; Ji, S.; Sun, T.; Chen, Z.; Guo, Q.; Yan, Y. 2025: Identification of muscle-activation-dependent human-exoskeleton coupling parameters Journal of Electromyography and Kinesiology 80: 102946
Huang, C.; Ji, S.; Chen, Z.; Sun, T.; Guo, Q.; Yan, Y. 2024: Identification and Analysis of Human-Exoskeleton Coupling Parameters in Lower Extremities IEEE Transactions on Haptics Pp
Wierling, C.K.; Steinfath, M.; Elge, T.; Schulze-Kremer, S.; Aanstad, P.; Clark, M.; Lehrach, H.; Herwig, R. 2002: Simulation of DNA array hybridization experiments and evaluation of critical parameters during subsequent image and data analysis Bmc Bioinformatics 3: 29
Di Guardo, A.; Sarac, M.; Gabardi, M.; Leonardis, D.; Solazzi, M.; Frisoli, A. 2019: Sensitivity Analysis and Identification of Human Parameters for an Adaptive, Underactuated Hand Exoskeleton Springer Proceedings in Advanced Robotics 8: 449-457
Constantinescu, C.; Rus, R.; Rusu, C.; Popescu, D. 2019: Digital Twins of Exoskeleton-Centered Workplaces: Challenges and Development Methodology Procedia Manufacturing 39: 58-65