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.
Buerkle, A, O'Dell, A, Matharu, H, Buerkle, L,
Ferreira, P (2023)
Recommendations to align higher education teaching with the UN sustainability goals – A scoping survey,
International Journal of Educational Research Open, 5, pp.100280-100280, DOI:
10.1016/j.ijedro.2023.100280.
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.
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.
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.
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.
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, 102137, ISSN: 0736-5845. DOI:
10.1016/j.rcim.2021.102137.
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.
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.
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.
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.
Doltsinis, S,
Ferreira, P, Lohse, N (2014)
An MDP model-based reinforcement learning approach for production station ramp-up optimization: Q-learning analysis,
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(9), pp.1125-1138, ISSN: 2168-2216. DOI:
10.1109/TSMC.2013.2294155.
Mani, MR, Surace, R,
Ferreira, P, Segal, P, Fassi, I, Ratchev, S (2013) Process parameter effects on dimensional accuracy of micro injection moulded part,
ASME’s Journal of Micro and Nano-manufacturing.
Sotoodeh-Bahraini, S-M, Hubbard, E-M, Callari, TC, Nassiuma, I, Anandan, P,
Ferreira, P, Niu, C, Yan, X, Shrinah, A, Lee, L-Y, Nam, S, Rossiter, J, Lepora, N, Asif, S, Eimontaite, I, Fletcher, S, Webb, P, Daly, A, Segate, RV, Ceglarek, D, Kinnell, P, Lohse, N Human Behaviour and Intention Prediction for Industrial Human-Robot Collaboration: A Survey,
Robotics and Computer Integrated Manufacturing, ISSN: 0736-5845.
Conferences
Sharma, Y,
Ferreira, P, Justham, L, Beatty, M (2024)
Investigating the use of low-cost tactile sensor in emulating mechanoreceptor patterns and in hardness-based classification. In
2024 10th International Conference on Control, Automation and Robotics (ICCAR); 2024 10th International Conference on Control, Automation and Robotics (ICCAR), Orchard District, Singapore,ISBN: 9798350373172. DOI:
10.1109/iccar61844.2024.10569468.
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.
Beatty, M, Strickland, D,
Ferreira, P (2022)
Estimating the future numbers of EV&HV battery cells available for second life repurposing. In
11th International Conference on Power Electronics, Machines and Drives (PEMD 2022), pp.78-84, DOI:
10.1049/icp.2022.1020.
Beatty, M, Buerkle, A, Strickland, D,
Ferreira, P (2022)
Investigating the effectiveness of offline techniques to sort and grade second life batteries. In
11th International Conference on Power Electronics, Machines and Drives (PEMD 2022), pp.563-569, DOI:
10.1049/icp.2022.1113.
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.
Buerkle, A, Al-Yacoub, A,
Ferreira, P (2020)
An incremental learning approach for physical human-robot collaboration. In Mohammad, A, Dong, X, Russo, M (ed)
Towards Autonomous Robotic Systems (TAROS 2020); Towards Autonomous Robotic Systems: 21st Annual Conference, TAROS 2020, Nottingham, UK, September 16, 2020, Proceedings, Nottingham, United Kingdom (Virtual), pp.308-313, ISBN: 9783030634858. DOI:
10.1007/978-3-030-63486-5_33.
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.
Buerkle, A, Al-Yacoub, A,
Ferreira, P (2020)
An incremental learning approach for physical human-robot collaboration. In Fox, C, Duckett, T, Richards, A (ed)
UKRAS20: the 3rd UK Robotics and Autonomous Systems Conference; UKRAS20 Conference: “Robots into the real world” Proceedings, Lincoln, UK (virtual), pp.9-11, DOI:
10.31256/Mk6Tq7P.
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.
Foley, B,
Ferreira, P, Zimmer, M (2020)
Towards gamification of the ramp-up process for Industry 4.0. In
UK-Robotics and Autonomous Systems 2020 (UK-RAS20); UKRAS20 Conference: “Robots into the real world” Proceedings, University of Lincoln (virtual), pp.125-127, DOI:
10.31256/Jp9Yd3M.
Dorofeev, K, Profanter, S, Cabral, J,
Ferreira, P, Zoitl, A (2019)
Agile Operational Behavior for the Control-Level Devices in Plug&Produce Production Environments. In
2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). DOI:
10.1109/etfa.2019.8869208.
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.
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.
Miranda, F, Martins, R, Dorofeev, K, Gentile, V,
Ferreira, P, Guedes, M (2018) Towards a common manufacturing service bus to enable flexible plug-and-produce automation. In
, 50th International Symposium on Robotics, ISR 2018, pp.205-212.
Dorofeev, K, Cheng, C-H,
Ferreira, P, Guedes, M, Profanter, S, Zoitl, A (2017)
Device adapter concept towards enabling plug-and-produce production environments. In
22nd IEEE International Conference on Emerging Technologies And Factory Automation, Limassol, Cyprus,ISBN: 9781509065059.
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 and
Ferreira, P (2016)
A FRAMEWORK FOR PHENOMENOGRAPIC ANALYSIS AND CLASSIFICATION OF TROUBLESOME KNOWLEDGE IN THE ENGINEERING DOMAIN. In
, EDULEARN16: 8TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES, pp.5882-5888.
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.
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.
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) Accuracy Synthesis for Modular Ultra-Precision Assembly Systems. In
International Symposium on Assembly and Manufacturing (IEEE), Suwon, South Korea.
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.
