Journal Articles
Mabkhot, MM, Ferreira, P, Eaton, W,
Lohse, N (2024)
Estimating adaptation effort in industry 4.0-enabled systems: Introducing two complexity indices with an evolvable network graph approach,
Journal of Industrial Information Integration, 40, pp.100616-100616, ISSN: 2467-964X. DOI:
10.1016/j.jii.2024.100616.
Lupi, F, Mabkhot, MM, Boffa, E, Ferreira, P, Antonelli, D, Maffei, A,
Lohse, N, Lanzetta, M (2023)
Automatic definition of engineer archetypes: A text mining approach,
Computers in Industry, 152, pp.103996-103996, ISSN: 0166-3615. DOI:
10.1016/j.compind.2023.103996.
Sotoodeh-Bahraini, M, Mahmoodabadi, MJ,
Lohse, N (2023)
Robust adaptive fuzzy fractional control for nonlinear chaotic systems with uncertainties,
Fractal and Fractional, 7(6), 484, DOI:
10.3390/fractalfract7060484.
Hovell, T, Petzing, J, Guo, W, Gill, C, Justham, L,
Lohse, N, Kinnell, P (2023)
Measurement Techniques for Three-Dimensional Metrology of High Aspect Ratio Internal Features—A Review,
Metrology, 3(2), pp.139-168, DOI:
10.3390/metrology3020009.
Buerkle, A, Al-Yacoub, A, Eaton, W, Zimmer, M, Bamber, T, Ferreira, P, Hubbard, E-M,
Lohse, N (2023)
An incremental learning approach to detect muscular fatigue in human-robot collaboration,
IEEE Transactions on Human-Machine Systems, 53(3), pp.520-528, ISSN: 2168-2291. DOI:
10.1109/THMS.2023.3259139.
Pottier, C, Petzing, J, Eghtedari, F,
Lohse, N, Kinnell, P (2023)
Developing digital twins of multi-camera metrology systems in Blender,
Measurement Science and Technology, 34(7), 075001, ISSN: 0957-0233. DOI:
10.1088/1361-6501/acc59e.
Buerkle, A, Eaton, W, Al-Yacoub, A, Zimmer, M, Kinnell, P, Henshaw, M, Coombes, M, Chen, W-H,
Lohse, N (2022)
Towards Industrial Robots as a Service (IRaaS): Flexibility, usability, safety and business models,
Robotics and Computer Integrated Manufacturing, 81(June 2023), 102484, ISSN: 0736-5845. DOI:
10.1016/j.rcim.2022.102484.
Zimmer, M, Al-Yacoub, A, Ferreira, P, Hubbard, E-M,
Lohse, N (2022)
Experimental study to investigate mental workload of local vs remote operator in human-machine interaction,
Production & Manufacturing Research, 10(1), pp.410-427, DOI:
10.1080/21693277.2022.2090458.
Buerkle, A, Matharu, H, Al-Yacoub, A,
Lohse, N, Bamber, T, Ferreira, P (2021)
An adaptive human sensor framework for human-robot collaboration,
The International Journal of Advanced Manufacturing Technology, 119(1-2), pp.1233-1248, ISSN: 0268-3768. DOI:
10.1007/s00170-021-08299-2.
Lupi, F, Mabkhot, MM, Finžgar, M, Minetola, P, Stadnicka, D, Maffei, A, Litwin, P, Boffa, E, Ferreira, P, Podržaj, P, Chelli, R,
Lohse, N, Lanzetta, M (2021)
Toward a sustainable educational engineer archetype through Industry 4.0,
Computers in Industry, 134, 103543, ISSN: 0166-3615. DOI:
10.1016/j.compind.2021.103543.
Buerkle, A, Eaton, W,
Lohse, N, Bamber, T, Ferreira, P (2021)
EEG based arm movement intention recognition towards enhanced safety in symbiotic Human-Robot Collaboration,
Robotics and Computer-Integrated Manufacturing, 70, pp.102137-102137, ISSN: 0736-5845. DOI:
10.1016/j.rcim.2021.102137.
Al-Yacoub, A, Flanagan, M, Buerkle, A, Bamber, T, Ferreira, P, Hubbard, E-M,
Lohse, N (2021)
Data-driven modelling of human-human co-manipulation using force and muscle surface electromyogram activities,
Electronics, 10(13), 1509, DOI:
10.3390/electronics10131509.
Buerkle, A, Bamber, T,
Lohse, N, Ferreira, P (2021)
Feasibility of detecting potential emergencies in symbiotic human-robot collaboration with a mobile EEG,
Robotics and Computer Integrated Manufacturing, 72, 102179, ISSN: 0736-5845. DOI:
10.1016/j.rcim.2021.102179.
Mabkhot, MM, Ferreira, P, Maffei, A, Podržaj, P, Mądziel, M, Antonelli, D, Lanzetta, M, Barata, J, Boffa, E, Finžgar, M, Paśko, Ł, Minetola, P, Chelli, R, Nikghadam-Hojjati, S, Wang, XV, Priarone, PC, Litwin, P, Stadnicka, D,
Lohse, N (2021)
Mapping industry 4.0 enabling technologies into United Nations sustainability development goals,
Sustainability, 13(5), 2560, ISSN: 2071-1050. DOI:
10.3390/su13052560.
Al-Yacoub, A, Zhao, Y, Eaton, W, Goh, Y,
Lohse, N (2021)
Improving human robot collaboration through force/torque based learning for object manipulation,
Robotics and Computer Integrated Manufacturing, 69, 102111, ISSN: 0736-5845. DOI:
10.1016/j.rcim.2020.102111.
Micheler, S, Goh, Y,
Lohse, N (2020)
A transformation of human operation approach to inform system design for automation,
Journal of Intelligent Manufacturing, 32(1), ISSN: 0956-5515. DOI:
10.1007/s10845-020-01568-z.
Ljasenko, S,
Lohse, N, Justham, L (2020)
Dynamic vs dedicated automation systems - a study in large structure assembly,
Production & Manufacturing Research, 8(1), pp.35-58, DOI:
10.1080/21693277.2020.1737591.
Doltsinis, S, Ferreira, P, Mabkhot, M,
Lohse, N (2020)
A decision support system for rapid ramp-up of industry 4.0 enabled production systems,
Computers in Industry, 116, 103190, ISSN: 0166-3615. DOI:
10.1016/j.compind.2020.103190.
Micheler, S, Goh, Y,
Lohse, N (2019)
Innovation landscape and challenges of smart technologies and systems - a European perspective,
Production and Manufacturing Research, 7(1), pp.503-528, ISSN: 2169-3277. DOI:
10.1080/21693277.2019.1687363.
Al-Yacoub, A, Zhao, Y,
Lohse, N, Goh, Y, Kinnell, P, Ferreira, P, Hubbard, E-M (2019)
Symbolic-based recognition of contact states for learning assembly skills,
Frontiers in Robotics and AI, 6, 99, DOI:
10.3389/frobt.2019.00099.
Ferreira, P, Danny, P, Pereira, I, Hiwarkar, V, Sayed, MS,
Lohse, N, Aguiar, S, Goncalves, G, Goncalves, J, Bottinger, F (2019)
Integrated design environment for reusable modular assembly systems,
Assembly Automation, 39(4), pp.664-672, ISSN: 0144-5154. DOI:
10.1108/AA-11-2017-154.
Elgeneidy, K, Al-Yacoub, A, Usman, Z,
Lohse, N, Jackson, MR, Wright, I (2018)
Towards an automated masking process: a model-based approach,
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, ISSN: 0954-4054. DOI:
10.1177/0954405418810058.
Ljasenko, S, Ferreira, P, Justham, L,
Lohse, N (2018)
Decentralised vs partially centralised self-organisation model for mobile robots in large structure assembly,
Computers in Industry, ISSN: 0166-3615. DOI:
10.1016/j.compind.2018.09.002.
Gong, X, Liu, Y,
Lohse, N, De Pessemier, T, Martens, L, Joseph, W (2018)
Energy and labor aware production scheduling for industrial demand response using adaptive multiobjective memetic algorithm,
IEEE Transactions on Industrial Informatics, 15(2), pp.942-953, ISSN: 1551-3203. DOI:
10.1109/TII.2018.2839645.
Guo, J, Elgeneidy, K, Xiang, C,
Lohse, N, Justham, L, Rossiter, J (2018)
Soft pneumatic grippers embedded with stretchable electroadhesion,
Smart Materials and Structures, ISSN: 0964-1726. DOI:
10.1088/1361-665X/aab579.
Sharifzadeh, S, Biro, I,
Lohse, N, Kinnell, P (2018)
Abnormality detection strategies for surface inspection using robot mounted laser scanners,
Mechatronics, 51, pp.59-74, ISSN: 0957-4158. DOI:
10.1016/j.mechatronics.2018.03.001.
Elgeneidy, K, Neumann, G, Jackson, MR,
Lohse, N (2018)
Directly printable flexible strain sensors for bending and contact feedback of soft actuators,
Front. Robot. AI, ISSN: 2296-9144. DOI:
10.3389/frobt.2018.00002.
Elgeneidy, K,
Lohse, N, Jackson, MR (2017)
Bending angle prediction and control of soft pneumatic actuators with embedded flex sensors - a data-driven approach,
Mechatronics, 50, pp.234-247, ISSN: 0957-4158. DOI:
10.1016/j.mechatronics.2017.10.005.
Hu, L, Liu, Y,
Lohse, N, Tang, R, Lv, J, Peng, C, Evans, S (2017)
Sequencing the features to minimise the non-cutting energy consumption in machining considering the change of spindle rotation speed,
Energy, 139, pp.935-946, ISSN: 0360-5442. DOI:
10.1016/j.energy.2017.08.032.
Doltsinis, S, Ferreira, P,
Lohse, N (2017)
A symbiotic human–machine learning approach for production ramp-up,
IEEE Transactions on Human-Machine Systems, 48(3), pp.229-240, ISSN: 2168-2291. DOI:
10.1109/THMS.2017.2717885.
Hodgson, JR, Kinnell, P, Justham, L,
Lohse, N, Jackson, MR (2017)
Novel metrics and methodology for the characterisation of 3D imaging systems,
Optics and Lasers in Engineering, 91, pp.169-177, ISSN: 0143-8166. DOI:
10.1016/j.optlaseng.2016.11.007.
Liu, Y, Dong, H,
Lohse, N, Petrovic, S (2016)
A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance,
International Journal of Production Economics, 179, pp.259-272, ISSN: 0925-5273. DOI:
10.1016/j.ijpe.2016.06.019.
Usman, Z, Monfared, R,
Lohse, N, Jackson, M (2016)
An investigation of highly accurate and precise robotic hole measurements using non‐contact devices,
International Journal of Metrology and Quality Engineering, ISSN: 2107-6839. DOI:
10.1051/ijmqe/2016007.
Liu, Y, Dong, H,
Lohse, N, Petrovic, S (2015)
Reducing environmental impact of production during a rolling blackout policy – a multi-objective schedule optimisation approach,
Journal of Cleaner Production, ISSN: 0959-6526. DOI:
10.1016/j.jclepro.2015.04.038.
Bakker, OJ, Gibson, C, Wilson, P,
Lohse, N, Popov, AA (2015)
Linear friction weld process monitoring of fixture cassette deformations using empirical mode decomposition,
Mechanical Systems and Signal Processing, ISSN: 0888-3270. DOI:
10.1016/j.ymssp.2015.02.005.
Sayed, MS and
Lohse, N (2014)
Ontology-driven generation of Bayesian diagnostic models for assembly systems,
International Journal of Advanced Manufacturing Technology, 74(5-8), pp.1033-1052, ISSN: 0268-3768. DOI:
10.1007/s00170-014-5918-0.
Sayed, MS and
Lohse, N (2014)
Ontology-driven generation of Bayesian diagnostic models for assembly systems,
The International Journal of Advanced Manufacturing Technology, ISSN: 0268-3768. DOI:
10.1007/s00170-014-5918-0.
Liu, Y, Dong, H,
Lohse, N, Petrovich, S, Gindy, N (2014)
An Investigation into Minimising Total Energy Consumption and Total Weighted Tardiness in Job Shops,
Journal of Cleaner Production, PP, pp.1-10, DOI:
10.1016/j.jclepro.2013.07.060.
Maffei, A, Akillioglu, H,
Lohse, N (2014) Analysis of the student perception of the link between product and production system: Towards effective strategies to teach the holistic nature of product design,
International Journal of Engineering Education, 30(6), pp.1357-1366, ISSN: 0949-149X.
Evans, L,
Lohse, N, Summers, M (2013)
A fuzzy-decision-tree approach for manufacturing technology selection exploiting experience-based information,
Expert Systems with Applications, 40(16), pp.6412-6426, ISSN: 0957-4174. DOI:
10.1016/j.eswa.2013.05.047.
Doltsinis, S, Ratchev, S,
Lohse, N (2013)
A Framework for Performance Measurement during Production Ramp-up of Assembly Stations,
European Journal of Operational Research, 229(1), pp.85-94, ISSN: 0377-2217. DOI:
10.1016/j.ejor.2013.02.051.
Agyapong-Kodua, K,
Lohse, N, Darlington, R, Ratchev, S (2013)
Semantic modelling technologies in support of virtual factory design,
International Journal of Production Research, 51(14), pp.4388-4404, ISSN: 0020-7543. DOI:
10.1080/00207543.2013.778433.
Sayed, M and
Lohse, N (2013)
Distributed Bayesian Diagnosis for Modular Assembly Systems - A Case Study,
Journal of Manufacturing Systems, 32(3), pp.480-488, DOI:
10.1016/j.jmsy.2013.03.001.
Zendoia, J, Zapp, M, Agyapong-Kodua, K,
Lohse, N, Singh, M (2013)
Fundamentals of a co-design methodology for improving the performance of machine tools based on semantic representation,
International Journal of Computer Integrated Manufacturing, 26(8), pp.751-761, ISSN: 0951-192X. DOI:
10.1080/0951192X.2013.766936.
Onori, M,
Lohse, N, Barata, J, Hanisch, C (2012)
The IDEAS project: Plug & produce at shop-floor level,
Assembly Automation, 32(2), pp.124-134, ISSN: 0144-5154. DOI:
10.1108/01445151211212280.
Evans, L,
Lohse, N, Tan, KH, Webb, P, Summers, M (2011)
Justification for the selection of manufacturing technologies: a fuzzy-decision-tree-based approach,
International Journal of Production Research, 50(23), pp.6945-6962, ISSN: 0020-7543. DOI:
10.1080/00207543.2011.638943.
Golightly, D,
Lohse, N, Opperud, A, Khalid, HM, Peacock, M (2011)
An ontology for relating affective needs to design parameters: development process and content,
Theoretical Issues in Ergonomics Science, 13(4), pp.393-410, ISSN: 1463-922X. DOI:
10.1080/1463922X.2010.520097.
Hirani, H, Ratchev, S,
Lohse, N, Valtchanov, G (2006)
Methodology for knowledge enriched requirements specification for assembly system reconfiguration,
Assembly Automation, 26(4), pp.307-314, ISSN: 0144-5154. DOI:
10.1108/01445150610705227.
Lohse, N, Hirani, H, Ratchev, S (2005)
Equipment ontology for modular reconfigurable assembly systems,
International Journal of Flexible Manufacturing Systems, 17(4), pp.301-314, ISSN: 1936-6582. DOI:
10.1007/s10696-006-9030-0.
Lohse, N, Ratchev, S, Valtchanov, G (2004)
Towards Web-enabled design of modular assembly systems,
Assembly Automation, 24(3), pp.270-279, ISSN: 0144-5154. DOI:
10.1108/01445150410549764.
Ratchev, S and
Lohse, N (2004)
Data modelling for web enabled design of modular precision assembly devices,
Assembly Automation, 24(1), pp.63-70, ISSN: 0144-5154. DOI:
10.1108/01445150410698967.
Conferences
Mabkhot, MM,
Lohse, N, Ferreira, P (2023)
An adapation Framework for Industry 4.0 Responsive Production Systems. In
2023 IEEE 21st International Conference on Industrial Informatics (INDIN), pp.1-6, DOI:
10.1109/indin51400.2023.10218127.
Callari, T, Oostveen, A-M, Hubbard, E-M, Fletcher, S,
Lohse, N (2023)
Where are we at? A review of the advances in the ethical aspects of human-robot collaboration. In
14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023), Human Aspects of Advanced Manufacturing, San Francisco. DOI:
10.54941/ahfe1003506.
Zimmer, M, Al-Yacoub, A, Ferreira, P, Hubbard, E-M,
Lohse, N (2021)
Mental workload of local vs remote operator in human-machine interaction case study. In
18th International Conference in Manufacturing Research (ICMR 2021), Derby, UK (Virtual), pp.33-38, ISBN: 9781643681986. DOI:
10.3233/ATDE210008.
Al-Yacoub, A, Eaton, W, Zimmer, M, Buerkle, A, Ariansyah, D, Erkoyuncu, JA,
Lohse, N (2020)
Investigating the impact of human in-the-loop digital twin in an industrial maintenance context [Abstract]. In
TESConf 2020 - 9th International Conference on Through-life Engineering Services; SSRN Journal, Online Edition. DOI:
10.2139/ssrn.3717797.
Ariansyah, D, Buerkle, A, Al-Yacoub, A, Zimmer, M, Erkoyuncu, JA,
Lohse, N (2020)
Towards a digital human representation in an industrial digital twin. In
9th International Conference on Through-life Engineering Services (TESConf 2020); Proceedings of the 9th International Conference on Through-life Engineering Services (TESConf 2020), Cranfield University, Online Edition. DOI:
10.2139/ssrn.3717733.
Al-Yacoub, A, Buerkle, A, Flanagan, M, Ferreira, P, Hubbard, E-M,
Lohse, N (2020)
Effective human-robot collaboration through wearable sensors. In
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020; 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vienna, Austria, pp.651-658, ISBN: 9781728189567. DOI:
10.1109/ETFA46521.2020.9212100.
Zimmer, M, Al-Yacoub, A, Ferreira, P,
Lohse, N (2020)
Understanding human decision-making during production ramp-up using natural language processing. In
2019 IEEE 17th International Conference on Industrial Informatics (INDIN), Helsinki, Finland, pp.337-342, ISBN: 9781728129273. DOI:
10.1109/INDIN41052.2019.8972033.
Zimmer, M, Al-Yacoub, A, Ferreira, P,
Lohse, N (2020)
Towards human-chatbot interaction: a virtual assistant for the ramp-up process. In
UKRAS20 Conference; UKRAS20 Conference: “Robots into the real world” Proceedings, University of Lincoln (virtual), pp.108-110, DOI:
10.31256/Qx5Dt5V.
Biro, I, Turner, J, Hodgson, J,
Lohse, N, Kinnell, P (2020)
Integration of a scanning interferometer into a robotic inspection system for factory deployment. In
2020 IEEE/SICE International Symposium on System Integration (SII), pp.1371-1375, DOI:
10.1109/sii46433.2020.9025972.
Zimmer, M, Ferreira, P, Danny, P, Al-Yacoub, A,
Lohse, N, Gentile, V (2019)
Towards a decision-support framework for reducing ramp-up effort in plug-and-produce systems. In
2nd IEEE International Conference on Industrial Cyber Physical Systems (ICPS2019), Taipei, Taiwan, pp.478-483, ISBN: 9781538685006. DOI:
10.1109/ICPHYS.2019.8780369.
Buerkle, A,
Lohse, N, Ferreira, P (2019)
Towards symbiotic human-robot collaboration: human movement intention recognition with an EEG. In
2nd UK-RAS Robotics and Autonomous Conference, Loughborough, 2019; UK-RAS19 Conference: “Embedded Intelligence: Enabling & Supporting RAS Technologies” Proceedings, Loughborough, UK, pp.52-55, DOI:
10.31256/ukras19.14.
Zimmer, M, Al-Yacoub, A, Ferreira, P,
Lohse, N (2019)
Trajectory creation towards fast skill deployment in plug-and-produce assembly systems: A Gaussian-Mixture Model approach. In
, Loughborough, pp.87-90.
Biro, I, Sharifzadeh, S, Kinnell, P,
Lohse, N (2018) 3D metrology and inspection of freeform surfaces using a robot integrated multi-sensor system. In
3DMC, Hamburg.
Biro, I, Kinnell, P,
Lohse, N (2018) Performance evaluation of a precision 3D surface interferometer with focus on robotic deployment. In
3DMC, Hamburg.
Elgeneidy, K, Neumann, G, Pearson, S, Jackson, MR,
Lohse, N (2018)
Contact detection and object size estimation using a modular soft gripper with embedded flex sensors. In
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain,ISBN: 9781538680940. DOI:
10.1109/IROS.2018.8593399.
Elgeneidy, K, Liu, P, Pearson, S,
Lohse, N, Neumann, G (2018)
Printable soft grippers with integrated bend sensing for handling of crops [Abstract]. In
19th Towards Autonomous Robotic Systems (TAROS) Conference, Bristol, UK.
Danny, P, Ferreira, P,
Lohse, N, Dorofeev, K (2018)
An event-based automationML model for the process execution of ‘plug-and-produce’ assembly systems. In
IEEE 16th International Conference of Industrial Informatics (INDIN 2018), Porto, Portugal,ISBN: 9781538648292. DOI:
10.1109/INDIN.2018.8471955.
Ljasenko, S,
Lohse, N, Justham, L (2017)
A comparison of the manufacturing resilience between fixed automation systems and mobile robots in large structure assembly. In
49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016); Procedia CIRP, Stuttgart, Germany, pp.235-240, DOI:
10.1016/j.procir.2016.11.041.
Madsen, AL, Sondberg-Jeppesen, N, Sayed, MS, Peschl, M,
Lohse, N (2017)
Applying Object-Oriented Bayesian Networks for smart diagnosis and health monitoring at both component and factory level. In
IEA/AIE 2017 - The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems, Arras, France.
Madsen, AL, Sondberg-Jeppesen, N, Jensen, F, Sayed, MS, Moser, U, Neto, L, Reis, J,
Lohse, N (2017)
Parameter learning algorithms for continuous model improvement using operational data. In
Fourteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2017), Lugano, Switzerland,ISBN: 9783319615813. DOI:
10.1007/978-3-319-61581-3_11.
Danny, P, Ferreira, P,
Lohse, N, Guedes, M (2017)
An AutomationML model for plug-and-produce assembly systems. In
2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Emden, Germany, pp.849-854, DOI:
10.1109/INDIN.2017.8104883.
Danny, P, Hiwarkar, V, Sayed, M, Ferreira, P,
Lohse, N (2016)
Linear constraint programming for cost-optimized configuration of modular assembly systems. In
49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016), Stuttgart, Germany. DOI:
10.1016/j.procir.2016.11.073.
Maffei, A, Daghini, L, Archenti, A,
Lohse, N (2016)
CONALI ontology. A framework for design and evaluation of constructively aligned courses in higher education: putting in focus the educational goal verbs. In
26th CIRP Design Conference, Stockholm, Sweden, pp.765-772, DOI:
10.1016/j.procir.2016.06.004.
Al-Yacoub, A, Sharifzadeh, S,
Lohse, N, Usman, Z, Goh, Y, Jackson, M (2016)
Learning industrial robot force/torque compensation: A comparison of support vector and random forests regression. In
ISAR 2016 - The International Conference on Intelligent Systems and Robotics, Zurich, Zwitserland,ISBN: 9780889869868. DOI:
10.2316/P.2016.847-002.
Al-Yacoub, A,
Lohse, N, Goh, Y, Usman, Z, Jackson, M (2016)
Compensate undesired force and torque measurements using parametric regression methods [Abstract]. In
euspen’s 16th International Conference & Exhibition, Nottingham, UK, pp.259-260.
Elgeneidy, K,
Lohse, N, Jackson, M (2016)
Experimental analysis of the bending response of soft gripper fingers. In
ASME 2016 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference IDETC/CIE 2016, Charlotte, North Carolina, USA,ISBN: 9780791850138. DOI:
10.1115/DETC2016-59630.
Micheler, S, Goh, Y,
Lohse, N (2016)
Influencing factors for implementing automation in manufacturing businesses – a literature review. In
International Conference on Manufacturing Research, Loughborough, UK.
Elgeneidy, K,
Lohse, N, Jackson, M (2016)
Data-driven bending angle prediction of soft pneumatic actuators with embedded flex sensors. In
IFAC Mechatronics 2016, Loughborough. DOI:
10.1016/j.ifacol.2016.10.654.
Zhao, Y, Al-Yacoub, A, Goh, Y, Justham, L,
Lohse, N, Jackson, M (2016)
Human skill capture: A hidden Markov model of force and torque data in peg-in-a-hole assembly process. In
SMC 2016 - IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary,ISBN: 9781509018970. DOI:
10.1109/SMC.2016.7844315.
Sharifzadeh, S, Biro, I,
Lohse, N, Kinnell, P (2016)
Robust surface abnormality detection for a robotic inspection system. In
, Loughborough University, UK, pp.301-308, DOI:
10.1016/j.ifacol.2016.10.572.
Fantini, P, Tavola, G, Taisch, M, Barbosa, J, Leitao, P, Liu, Y, Sayed, M,
Lohse, N (2016)
Exploring the integration of the human as a flexibility factor in CPS enabled manufacturing environments: methodology and results. In
IECON 2016 - The 42nd Annual Conference of IEEE Industrial Electronics Society, Florence, Italy,ISBN: 9781509034741. DOI:
10.1109/IECON.2016.7793579.
Alotaibi, A,
Lohse, N, Vu, TM (2016)
Dynamic agent-based bi-objective robustness for tardiness and energy in a dynamic flexible job shop. In
49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016), Stuttgart, Germany. DOI:
10.1016/j.procir.2016.11.126.
Madsen, AL, Sondberg-Jeppesen, N,
Lohse, N, Sayed, MS (2015)
A methodology for developing local smart diagnostic models using expert knowledge. In
Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015, pp.1682-1687, ISBN: 9781479966493. DOI:
10.1109/INDIN.2015.7281987.
Sayed, MS,
Lohse, N, Sondberg-Jeppesen, N, Madsen, AL (2015)
SelSus: Towards a reference architecture for diagnostics and predictive maintenance using smart manufacturing devices. In
Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015, pp.1700-1705, ISBN: 9781479966493. DOI:
10.1109/INDIN.2015.7281990.
Cavin, S and
Lohse, N (2014)
Multi-Level Skill-Based Allocation Methodology for Evolvable Assembly Systems. In
12th IEEE International Conference on Industrial Informatics, Porto Alegre, Brazil, pp.532-537, DOI:
10.1109/INDIN.2014.6945569.
Ferreira, P, Doltsinis, S,
Lohse, N (2014)
Symbiotic assembly systems – A new paradigm. In
the 47th CIRP Conference on Manufacturing Systems, Windsor, Ontario, Canada, pp.26-31, DOI:
10.1016/j.procir.2014.01.066.
Ferreira, P, Doltsinis, S, Anagnostopoulos, A, Pascoa, F,
Lohse, N (2013)
A Performance evaluation of Industrial Agents - A Benchmark against Programmable Logic Controllers. In
IECON 2013 39th Annual Conference of the IEEE Industrial Electronics Society, Vienna, Austria, pp.7404-7409, DOI:
10.1109/IECON.2013.6700365.
Ferreira, P, Sayed, SS, Osei, S,
Lohse, N (2013) Towards Knowledge Framework for Life-Cycle-Long Gathering of Maintenance Information for Decision Support in Machine Tool Design. In
The 3rd International Conference on Advanced Manufacturing Engineering and Technologies, Stockholm, Sweden, pp.1-10.
Cavin, S, Ferreira, P,
Lohse, N (2013)
Dynamic Skill Allocation Methodology for Evolvable Assembly Systems. In
IEEE 11th International Conference on Industrial Informatics, Bochum, Germany, pp.218-223, DOI:
10.1109/INDIN.2013.6622885.
Doltsinis, S, Ferreira, P,
Lohse, N (2012)
Reinforcement Learning for Production Ramp-Up: A Q-Batch Learning Approach. In
11th International Conference on Machine Learning and Applications (ICMLA), Boca Raton, Florida, USA, pp.610-615, DOI:
10.1109/ICMLA.2012.113.
Ferreira, P,
Lohse, N, Razgon, M, Larizza, P, Triggiani, G (2012)
Skill Based Configuration Methodology for Evolvable Mechatronic Systems. In
IECON 2012, 38th Annual Conference of the IEEE Industrial Electronics Society, Montreal, Canada, pp.4366-4371, DOI:
10.1109/IECON.2012.6389186.
Doltsinis, S and
Lohse, N (2012)
A Model-Free Reinforcement Learning Approach Using Monte Carlo Method for Production Ramp-Up Policy Improvement - a Copy Exactly Test Case. In
14th IFAC Symposium on Information Control Problems in Manufacturing - INCOM 2012, Bucharest, Romania, pp.1628-1634, DOI:
10.3182/20120523-3-RO-2023.00288.
Ferreira, P and
Lohse, N (2012) Configuration Model for Evolvable Assembly Systems. In
4th CIRP Conference on Assembly Technology and Systems - CATS 2012, Ann Arbor, USA, pp.75-80.
Sayed, MS and
Lohse, N (2012) Distributed Bayesian Diagnosis for Modular Assembly Systems – A Case Study. In
4th CIRP Conference on Assembly Technology and Systems - CATS 2012, Ann Arbor, USA, pp.95-100.
Evans, L,
Lohse, N, Summers, M (2012)
Intelligent Experience based Support Tools for Aerospace Manufacturing Technology Selection. In
IEEE Aerospace Conference 2012, Big Sky, Montana, USA, pp.1-10, DOI:
10.1109/AERO.2012.6187415.
Farr, R and
Lohse, N (2011) Use of Enterprise Simulation to Assess the Impacts of Remanufacturing Operations. In
The 1st International Conference on Remanufacturing, Glasgow, UK, pp.1-6.
Evans, L and
Lohse, N (2011)
Optimized Fuzzy Decision Tree Data Mining for Engineering Applications. In
, pp.228-239, ISBN: 9783642231834. DOI:
10.1007/978-3-642-23184-1_18.
Evans, L,
Lohse, N, Poad, M, Webb, P (2010)
Evaluation and selection of manufacturing technologies using the analytic hierarchy process in wing assembly. In
, Durham, UK.
Evans, L and
Lohse, N (2010)
An intelligent technology selection algorithm for complex decision environments – a unique knowledge based approach. In
ICKM 2010: 7th International Conference on Knowledge Management, Pittsburgh, USA.
Evans, L,
Lohse, N, Webb, P (2010)
A self-learning case and rule-based reasoning algorithm for intelligent technology evaluation and selection [Abstract]. In
AI-2010 Thirtieth SGAI International Conference on Artificial Intelligence, Cambridge, UK.
Ferreira, P,
Lohse, N, Ratchev, S (2009)
Repeatability synthesis methodology for modular ultra-precision assembly systems. In
ISAM 2009: IEEE International Symposium on Assembly and Manufacturing, 2009 IEEE International Symposium on Assembly and Manufacturing, ISAM 2009, Seoul, Korea (South), pp.280-285, ISBN: 9781424446278. DOI:
10.1109/ISAM.2009.5376957.
Ferreira, P,
Lohse, N, Ratchev, S (2009) Multi-Agent Architecture for Self-Configuring Modular Assembly Systems. In
9th IFAC Symposium on Robot Control, Gifu, Japan.
Lohse, N, Ratchev, S, Barata, J (2007)
Evolvable assembly systems - On the role of design frameworks and supporting ontologies. In
, Montreal, Canada, pp.3375-3380, ISBN: 1424404967. DOI:
10.1109/ISIE.2006.296008.
Lohse, N, Ratchev, S, Barata, J (2006)
Evolvable assembly systems - On the role of design frameworks and supporting ontologies. In
, 2006 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-7, pp.3377-+, ISBN: 978-1-4244-0496-4.
Lohse, N, Hirani, H, Ratchev, S, Turitto, M (2005)
An ontology for the definition and validation of assembly processes for evolvable assembly systems. In
, Montreal, Canada, pp.242-247, ISBN: 0780390806. DOI:
10.1109/ISATP.2005.1511480.
Lohse, N, Valtchanov, G, Ratchev, S, Onori, M, Barata, J (2005)
Towards a unified assembly system design ontology using Protégé [Abstract]. In
Eighth International Protégé Conference, Madrid, Spain.
Ratchev, S,
Lohse, N, Hirani, H (2004) Knowledge model for distributed conceptual design of modular assembly workstations. In
ISR 2004: 35th International Symposium on Robotics, Paris, France.
Hirani, H, Ratchev, S,
Lohse, N, Valtchanov, G (2004) Web-based specification of reconfigurable precision assembly system - industrial scenarios and use cases. In
2nd International Precision Assembly Seminar, Bad Hofgastein, Austria, pp.27-34.
Lohse, N, Ratchev, S, Chrisp, A (2004)
Function-behaviour-structure model for modular assembly equipment. In
2nd International Precision Assembly Seminar, Bad Hofgastein, Austria, pp.167-174.
Ratchev, S and
Lohse, N (2003) Data modelling for web enabled design of modular precision assembly devices. In
1st International Precision Assembly Seminar, Bad Hofgastein, Austria.
Lohse, N, Hirani, H, Ratchev, S (2003)
Task-based modelling and configuration of assembly workstations. In
, Besancon, France, pp.301-306, ISBN: 0780377702. DOI:
10.1109/ISATP.2003.1217228.
Ratchev, S,
Lohse, N, Moualek, I (2002) Linguistic based configuration of modular precision assembly devices. In
ISR 2002 - 33rd International Symposium on Robotics, Stockholm, Sweden.
