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Journal Articles
- 2025
[j20]Seemal Asif
, Mikel Bueno, Pedro Ferreira, Paul Anandan, Ze Zhang, Yue Yao, Gautham Ragunathan, Lloyd Tinkler, Masoud Sotoodeh-Bahraini, Niels Lohse, Phil Webb, Windo Hutabarat, Ashutosh Tiwari:
Rapid and automated configuration of robot manufacturing cells. Robotics Comput. Integr. Manuf. 92: 102862 (2025)- 2024
- [j19]Mohammed M. Mabkhot, Pedro Ferreira, William Eaton, Niels Lohse:
Estimating adaptation effort in industry 4.0-enabled systems: Introducing two complexity indices with an evolvable network graph approach. J. Ind. Inf. Integr. 40: 100616 (2024) - 2023
- [j18]Francesco Lupi, Mohammed M. Mabkhot, Eleonora Boffa, Pedro Ferreira, Dario Antonelli, Antonio Maffei, Niels Lohse, Michele Lanzetta:
Automatic definition of engineer archetypes: A text mining approach. Comput. Ind. 152: 103996 (2023) - [j17]Achim Buerkle, William Eaton, Ali Al-Yacoub, Melanie Zimmer, Peter Kinnell, Michael Henshaw, Matthew Coombes, Wen-Hua Chen, Niels Lohse:
Towards industrial robots as a service (IRaaS): Flexibility, usability, safety and business models. Robotics Comput. Integr. Manuf. 81: 102484 (2023) - [j16]Achim Buerkle, Ali Al-Yacoub, William Eaton, Melanie Zimmer, Thomas Bamber, Pedro Ferreira, Ella-Mae Hubbard, Niels Lohse:
An Incremental Learning Approach to Detect Muscular Fatigue in Human- Robot Collaboration. IEEE Trans. Hum. Mach. Syst. 53(3): 520-528 (2023) - 2022
- [j15]Francesco Lupi, Mohammed M. Mabkhot, Miha Finzgar, Paolo Minetola, Dorota Stadnicka, Antonio Maffei, Pawel Litwin, Eleonora Boffa, Pedro Ferreira, Primoz Podrzaj, Riccardo Chelli, Niels Lohse, Michele Lanzetta:
Toward a sustainable educational engineer archetype through Industry 4.0. Comput. Ind. 134: 103543 (2022) - 2021
- [j14]Simon Micheler, Yee Mey Goh, Niels Lohse:
A transformation of human operation approach to inform system design for automation. J. Intell. Manuf. 32(1): 201-220 (2021) - [j13]Ali Al-Yacoub, Yuchen Zhao, William Eaton, Yee Mey Goh, Niels Lohse:
Improving human robot collaboration through Force/Torque based learning for object manipulation. Robotics Comput. Integr. Manuf. 69: 102111 (2021) - [j12]Achim Buerkle, William Eaton, Niels Lohse, Thomas Bamber, Pedro Ferreira:
EEG based arm movement intention recognition towards enhanced safety in symbiotic Human-Robot Collaboration. Robotics Comput. Integr. Manuf. 70: 102137 (2021) - [j11]Achim Buerkle, Thomas Bamber, Niels Lohse, Pedro Ferreira:
Feasibility of Detecting Potential Emergencies in Symbiotic Human-Robot Collaboration with a mobile EEG. Robotics Comput. Integr. Manuf. 72: 102179 (2021) - 2020
- [j10]Stefanos Doltsinis, Pedro Ferreira, Mohammed M. Mabkhot, Niels Lohse:
A Decision Support System for rapid ramp-up of industry 4.0 enabled production systems. Comput. Ind. 116: 103190 (2020) - 2019
- [j9]Spartak Ljasenko, Pedro Ferreira, Laura Justham, Niels Lohse:
Decentralised vs partially centralised self-organisation model for mobile robots in large structure assembly. Comput. Ind. 104: 141-154 (2019) - [j8]Ali Al-Yacoub, Yuchen Zhao, Niels Lohse, Yee Mey Goh, Peter Kinnell, Pedro Ferreira, Ella-Mae Hubbard:
Symbolic-Based Recognition of Contact States for Learning Assembly Skills. Frontiers Robotics AI 6: 99 (2019) - [j7]Xu Gong, Ying Liu, Niels Lohse, Toon De Pessemier, Luc Martens, Wout Joseph:
Energy- and Labor-Aware Production Scheduling for Industrial Demand Response Using Adaptive Multiobjective Memetic Algorithm. IEEE Trans. Ind. Informatics 15(2): 942-953 (2019) - 2018
- [j6]Khaled Elgeneidy, Gerhard Neumann, Michael R. Jackson, Niels Lohse:
Directly Printable Flexible Strain Sensors for Bending and Contact Feedback of Soft Actuators. Frontiers Robotics AI 5: 2 (2018) - [j5]Stefanos Doltsinis, Pedro Ferreira, Niels Lohse:
A Symbiotic Human-Machine Learning Approach for Production Ramp-up. IEEE Trans. Hum. Mach. Syst. 48(3): 229-240 (2018) - 2014
- [j4]Stefanos Doltsinis, Pedro Ferreira, Niels Lohse:
An MDP Model-Based Reinforcement Learning Approach for Production Station Ramp-Up Optimization: Q-Learning Analysis. IEEE Trans. Syst. Man Cybern. Syst. 44(9): 1125-1138 (2014) - 2013
- [j3]Stefanos Doltsinis, Svetan M. Ratchev, Niels Lohse:
A framework for performance measurement during production ramp-up of assembly stations. Eur. J. Oper. Res. 229(1): 85-94 (2013) - [j2]Liam Evans, Niels Lohse, Mark Summers:
A fuzzy-decision-tree approach for manufacturing technology selection exploiting experience-based information. Expert Syst. Appl. 40(16): 6412-6426 (2013) - [j1]Jose Zendoia, M. Zapp, Kwabena Agyapong-Kodua, Niels Lohse, M. Singh:
Fundamentals of a co-design methodology for improving the performance of machine tools based on semantic representation. Int. J. Comput. Integr. Manuf. 26(8): 751-761 (2013)
Conference and Workshop Papers
- 2023
- [c27]Mohammed M. Mabkhot, Niels Lohse, Pedro Ferreira:
An adapation Framework for Industry 4.0 Responsive Production Systems. INDIN 2023: 1-6 - [c26]Myles Flanagan, Niels Lohse, Pedro Ferreira:
Mobile Robots for Collaborative Manipulation over Uneven Ground Using Decentralised Impedance Control. TAROS 2023: 343-355 - 2020
- [c25]Ali Al-Yacoub, Achim Buerkle, Myles Flanagan, Pedro Ferreira, Ella-Mae Hubbard, Niels Lohse:
Effective Human-Robot Collaboration Through Wearable Sensors. ETFA 2020: 651-658 - [c24]István Bíró, Joanna Turner, J. Hodgson, Niels Lohse, Peter Kinnell:
Integration of a scanning interferometer into a robotic inspection system for factory deployment. SII 2020: 1371-1375 - 2019
- [c23]Melanie Zimmer, Pedro Ferreira, Paul Danny, Ali Al-Yacoub, Niels Lohse, Valerio Gentile:
Towards a Decision-support Framework for Reducing Ramp-up Effort in Plug-and-Produce Systems. ICPS 2019: 478-483 - [c22]Melanie Zimmer, Ali Al-Yacoub, Pedro Ferreira, Niels Lohse:
Understanding Human Decision-making during Production Ramp-up using Natural Language Processing. INDIN 2019: 337-342 - 2018
- [c21]Paul Danny, Pedro Ferreira, Niels Lohse, Kirill Dorofeev:
An Event-Based AutomationML Model for the Process Execution of Plug-and-Produce' Assembly Systems. INDIN 2018: 49-54 - [c20]Khaled Elgeneidy, Gerhard Neumann, Simon Pearson, Michael R. Jackson, Niels Lohse:
Contact Detection and Size Estimation Using a Modular Soft Gripper with Embedded Flex Sensors. IROS 2018: 498-503 - 2017
- [c19]Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Frank Jensen, Mohamed S. Sayed, Ulrich Moser, Luís Neto, João Reis, Niels Lohse:
Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data. ECSQARU 2017: 115-124 - [c18]Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Mohamed S. Sayed, Michael Peschl, Niels Lohse:
Applying Object-Oriented Bayesian Networks for Smart Diagnosis and Health Monitoring at both Component and Factory Level. IEA/AIE (2) 2017: 132-141 - [c17]Paul Danny, Pedro Ferreira, Niels Lohse, Magno Guedes:
An AutomationML model for plug-and-produce assembly systems. INDIN 2017: 849-854 - 2016
- [c16]Paola Fantini, Giacomo Tavola, Marco Taisch, José Barbosa, Paulo Leitão, Ying Liu, Mohamed S. Sayed, Niels Lohse:
Exploring the integration of the human as a flexibility factor in CPS enabled manufacturing environments: Methodology and results. IECON 2016: 5711-5716 - [c15]Yee Mey Zhao, Ali Al-Yacoub, Yee Mey Goh, Laura Justham, Niels Lohse, Michael R. Jackson:
Human skill capture: A Hidden Markov Model of force and torque data in peg-in-a-hole assembly process. SMC 2016: 655-660 - [c14]Flávio Páscoa, Ivo Pereira, Pedro Ferreira, Niels Lohse:
Redundant and Decentralised Directory Facilitator for Resilient Plug and Produce Cyber Physical Production Systems. SOHOMA 2016: 71-79 - [c13]Spartak Ljasenko, Niels Lohse, Laura Justham, Ivo Pereira, Michael R. Jackson:
A Self-organisation Model for Mobile Robots in Large Structure Assembly Using Multi-agent Systems. SOHOMA 2016: 83-91 - 2015
- [c12]Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Niels Lohse, Mohamed S. Sayed:
A methodology for developing local smart diagnostic models using expert knowledge. INDIN 2015: 1682-1687 - [c11]Mohamed S. Sayed, Niels Lohse, Nicolaj Søndberg-Jeppesen, Anders L. Madsen:
SelSus: Towards a reference architecture for diagnostics and predictive maintenance using smart manufacturing devices. INDIN 2015: 1700-1705 - 2014
- [c10]Shirley Cavin, Niels Lohse:
Multi-level skill-based allocation methodology for evolvable assembly systems. INDIN 2014: 532-537 - 2013
- [c9]Pedro Ferreira, Stefanos Doltsinis, Athanasios Anagnostopoulos, Flávio Páscoa, Niels Lohse:
A performance evaluation of industrial agents. IECON 2013: 7404-7409 - [c8]Shirley Cavin, Pedro Ferreira, Niels Lohse:
Dynamic skill allocation methodology for evolvable assembly systems. INDIN 2013: 218-223 - 2012
- [c7]Stefanos Doltsinis, Pedro Ferreira, Niels Lohse:
Reinforcement Learning for Production Ramp-Up: A Q-Batch Learning Approach. ICMLA (1) 2012: 610-615 - [c6]Pedro Ferreira, Niels Lohse, Margarita Razgon, Piero Larizza, Giuseppe Triggiani:
Skill based configuration methodology for evolvable mechatronic systems. IECON 2012: 4366-4371 - [c5]Ying Liu, Niels Lohse, Sanja Petrovic, Nabil Gindy:
An Investigation into Minimising Total Energy Consumption, Total Energy Cost and Total Tardiness Based on a Rolling Blackout Policy in a Job Shop. APMS (1) 2012: 103-110 - 2011
- [c4]Liam Evans, Niels Lohse:
Optimized Fuzzy Decision Tree Data Mining for Engineering Applications. ICDM 2011: 228-239 - 2010
- [c3]Pedro Ferreira, Niels Lohse, Svetan M. Ratchev:
Multi-agent Architecture for Reconfiguration of Precision Modular Assembly Systems. IPAS 2010: 247-254 - 2009
- [c2]Pedro Ferreira, Niels Lohse, Svetan M. Ratchev:
Multi-Agent Architecture for Self-Configuring Modular Assembly Systems. SyRoCo 2009: 92-97 - 2006
- [c1]Niels Lohse, Christian Schäfer, Svetan M. Ratchev:
Towards an Integrated Assembly Process Decomposition and Modular Equipment Configuration - A Knowledge Enhanced Iterative Approach. IPAS 2006: 215-225
Informal and Other Publications
- 2024
- [i1]Anas Shrinah, Masoud S. Bahraini, Fahad Khan, Seemal Asif, Niels Lohse, Kerstin Eder:
On the Design of Human-Robot Collaboration Gestures. CoRR abs/2402.19058 (2024)
Coauthor Index
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last updated on 2024-12-10 21:43 CET by the dblp team
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