Niels Lohse

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 31

Top Topics

Incremental Learning

Production System

Memetic Algorithm

Top Venues

Robotics Comput. Integr. Manuf.

Frontiers Robotics AI

Publications

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 (2024)
Anas Shrinah, Masoud S. Bahraini, Fahad Khan, Seemal Asif, Niels Lohse, Kerstin Eder
On the Design of Human-Robot Collaboration Gestures. CoRR (2024)
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 (2023)
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) (2023)
Mohammed M. Mabkhot, Niels Lohse, Pedro Ferreira
An adapation Framework for Industry 4.0 Responsive Production Systems. INDIN (2023)
Myles Flanagan, Niels Lohse, Pedro Ferreira
Mobile Robots for Collaborative Manipulation over Uneven Ground Using Decentralised Impedance Control. TAROS (2023)
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 (2023)
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 (2022)
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 (2021)
Simon Micheler, Yee Mey Goh, Niels Lohse
A transformation of human operation approach to inform system design for automation. J. Intell. Manuf. 32 (1) (2021)
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 (2021)
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 (2021)
István Bíró, J. Turner, J. Hodgson, Niels Lohse, Peter Kinnell
. SII (2020)
Ali Al-Yacoub, Achim Buerkle, Myles Flanagan, Pedro Ferreira, Ella-Mae Hubbard, Niels Lohse
Effective Human-Robot Collaboration Through Wearable Sensors. ETFA (2020)
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 (2020)
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 (2019)
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)
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) (2019)
Melanie Zimmer, Ali Al-Yacoub, Pedro Ferreira, Niels Lohse
Understanding Human Decision-making during Production Ramp-up using Natural Language Processing. INDIN (2019)
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 (2019)
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 (2018)
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)
Stefanos Doltsinis, Pedro Ferreira, Niels Lohse
A Symbiotic Human-Machine Learning Approach for Production Ramp-up. IEEE Trans. Hum. Mach. Syst. 48 (3) (2018)
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)
Paul Danny, Pedro Ferreira, Niels Lohse, Magno Guedes
An AutomationML model for plug-and-produce assembly systems. INDIN (2017)
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)
Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Frank Jensen, Mohamed S. Sayed, Ulrich Moser, Luis Neto, João Reis, Niels Lohse
Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data. ECSQARU (2017)
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)
Flávio Páscoa, Ivo Pereira, Pedro Ferreira, Niels Lohse
Redundant and Decentralised Directory Facilitator for Resilient Plug and Produce Cyber Physical Production Systems. SOHOMA (2016)
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)
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)
Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Niels Lohse, Mohamed S. Sayed
A methodology for developing local smart diagnostic models using expert knowledge. INDIN (2015)
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)
Shirley Cavin, Niels Lohse
Multi-level skill-based allocation methodology for evolvable assembly systems. INDIN (2014)
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) (2014)
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) (2013)
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) (2013)
Shirley Cavin, Pedro Ferreira, Niels Lohse
Dynamic skill allocation methodology for evolvable assembly systems. INDIN (2013)
Liam Evans, Niels Lohse, Mark Summers
A fuzzy-decision-tree approach for manufacturing technology selection exploiting experience-based information. Expert Syst. Appl. 40 (16) (2013)
Pedro Ferreira, Stefanos Doltsinis, Athanasios Anagnostopoulos, Flávio Páscoa, Niels Lohse
A performance evaluation of industrial agents. IECON (2013)
Stefanos Doltsinis, Pedro Ferreira, Niels Lohse
Reinforcement Learning for Production Ramp-Up: A Q-Batch Learning Approach. ICMLA (1) (2012)
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)
Pedro Ferreira, Niels Lohse, Margarita Razgon, Piero Larizza, Giuseppe Triggiani
Skill based configuration methodology for evolvable mechatronic systems. IECON (2012)
Liam Evans, Niels Lohse
Optimized Fuzzy Decision Tree Data Mining for Engineering Applications. ICDM (2011)
Pedro Ferreira, Niels Lohse, Svetan M. Ratchev
Multi-agent Architecture for Reconfiguration of Precision Modular Assembly Systems. IPAS (2010)
Pedro Ferreira, Niels Lohse, Svetan M. Ratchev
Multi-Agent Architecture for Self-Configuring Modular Assembly Systems. SyRoCo (2009)
Niels Lohse, Christian Schäfer, Svetan M. Ratchev
Towards an Integrated Assembly Process Decomposition and Modular Equipment Configuration - A Knowledge Enhanced Iterative Approach. IPAS (2006)