Towards an Integrated Assembly Process Decomposition and Modular Equipment Configuration - A Knowledge Enhanced Iterative Approach. - Niels Lohse; Christian Schäfer; Svetan M. Ratchev (IPAS, 2006)

Multi-Agent Architecture for Self-Configuring Modular Assembly Systems. - Pedro Ferreira; Niels Lohse; Svetan M. Ratchev (SyRoCo, 2009)

Multi-agent Architecture for Reconfiguration of Precision Modular Assembly Systems. - Pedro Ferreira; Niels Lohse; Svetan M. Ratchev (IPAS, 2010)

Optimized Fuzzy Decision Tree Data Mining for Engineering Applications. - Liam Evans; Niels Lohse (ICDM, 2011)

Reinforcement Learning for Production Ramp-Up: A Q-Batch Learning Approach. - Stefanos Doltsinis; Pedro Ferreira; Niels Lohse (ICMLA (1), 2012)

Skill based configuration methodology for evolvable mechatronic systems. - Pedro Ferreira; Niels Lohse; Margarita Razgon; Piero Larizza; Giuseppe Triggiani (IECON, 2012)

An Investigation into Minimising Total Energy Consumption, Total Energy Cost and Total Tardiness Based on a Rolling Blackout Policy in a Job Shop. - Ying Liu 028; Niels Lohse; Sanja Petrovic; Nabil Gindy (APMS (1), 2012)

A performance evaluation of industrial agents. - Pedro Ferreira; Stefanos Doltsinis; Athanasios Anagnostopoulos; Flávio Páscoa; Niels Lohse (IECON, 2013)

Dynamic skill allocation methodology for evolvable assembly systems. - Shirley Cavin; Pedro Ferreira; Niels Lohse (INDIN, 2013)

A framework for performance measurement during production ramp-up of assembly stations. - Stefanos Doltsinis; Svetan M. Ratchev; Niels Lohse (Eur. J. Oper. Res., 2013)

A fuzzy-decision-tree approach for manufacturing technology selection exploiting experience-based information. - Liam Evans; Niels Lohse; Mark Summers (Expert Syst. Appl., 2013)

Fundamentals of a co-design methodology for improving the performance of machine tools based on semantic representation. - Jose Zendoia; M. Zapp; Kwabena Agyapong-Kodua; Niels Lohse; M. Singh (Int. J. Comput. Integr. Manuf., 2013)

Multi-level skill-based allocation methodology for evolvable assembly systems. - Shirley Cavin; Niels Lohse (INDIN, 2014)

An MDP Model-Based Reinforcement Learning Approach for Production Station Ramp-Up Optimization: Q-Learning Analysis. - Stefanos Doltsinis; Pedro Ferreira; Niels Lohse (IEEE Trans. Syst. Man Cybern. Syst., 2014)

A methodology for developing local smart diagnostic models using expert knowledge. - Anders L. Madsen; Nicolaj Søndberg-Jeppesen; Niels Lohse; Mohamed S. Sayed (INDIN, 2015)

SelSus: Towards a reference architecture for diagnostics and predictive maintenance using smart manufacturing devices. - Mohamed S. Sayed; Niels Lohse; Nicolaj Søndberg-Jeppesen; Anders L. Madsen (INDIN, 2015)

Exploring the integration of the human as a flexibility factor in CPS enabled manufacturing environments: Methodology and results. - Paola Fantini; Giacomo Tavola; Marco Taisch; José Barbosa; Paulo Leitão; Ying Liu; Mohamed S. Sayed; Niels Lohse (IECON, 2016)

Human skill capture: A Hidden Markov Model of force and torque data in peg-in-a-hole assembly process. - Yee Mey Zhao; Ali Al-Yacoub; Yee Mey Goh; Laura Justham; Niels Lohse; Michael R. Jackson (SMC, 2016)

A Self-organisation Model for Mobile Robots in Large Structure Assembly Using Multi-agent Systems. - Spartak Ljasenko; Niels Lohse; Laura Justham; Ivo Pereira; Michael R. Jackson (SOHOMA, 2016)

Redundant and Decentralised Directory Facilitator for Resilient Plug and Produce Cyber Physical Production Systems. - Flávio Páscoa; Ivo Pereira; Pedro Ferreira; Niels Lohse (SOHOMA, 2016)

Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data. - Anders L. Madsen; Nicolaj Søndberg-Jeppesen; Frank Jensen; Mohamed S. Sayed; Ulrich Moser; Luís Neto; João Reis 001; Niels Lohse (ECSQARU, 2017)

Applying Object-Oriented Bayesian Networks for Smart Diagnosis and Health Monitoring at both Component and Factory Level. - Anders L. Madsen; Nicolaj Søndberg-Jeppesen; Mohamed S. Sayed; Michael Peschl; Niels Lohse (IEA/AIE (2), 2017)

An AutomationML model for plug-and-produce assembly systems. - Paul Danny; Pedro Ferreira; Niels Lohse; Magno Guedes (INDIN, 2017)

An Event-Based AutomationML Model for the Process Execution of Plug-and-Produce' Assembly Systems. - Paul Danny; Pedro Ferreira; Niels Lohse; Kirill Dorofeev (INDIN, 2018)

Contact Detection and Size Estimation Using a Modular Soft Gripper with Embedded Flex Sensors. - Khaled Elgeneidy; Gerhard Neumann; Simon Pearson; Michael R. Jackson; Niels Lohse (IROS, 2018)

Directly Printable Flexible Strain Sensors for Bending and Contact Feedback of Soft Actuators. - Khaled Elgeneidy; Gerhard Neumann; Michael R. Jackson; Niels Lohse (Frontiers Robotics AI, 2018)

A Symbiotic Human-Machine Learning Approach for Production Ramp-up. - Stefanos Doltsinis; Pedro Ferreira; Niels Lohse (IEEE Trans. Hum. Mach. Syst., 2018)

Towards a Decision-support Framework for Reducing Ramp-up Effort in Plug-and-Produce Systems. - Melanie Zimmer; Pedro Ferreira; Paul Danny; Ali Al-Yacoub; Niels Lohse; Valerio Gentile (ICPS, 2019)

Understanding Human Decision-making during Production Ramp-up using Natural Language Processing. - Melanie Zimmer; Ali Al-Yacoub; Pedro Ferreira; Niels Lohse (INDIN, 2019)

Decentralised vs partially centralised self-organisation model for mobile robots in large structure assembly. - Spartak Ljasenko; Pedro Ferreira; Laura Justham; Niels Lohse (Comput. Ind., 2019)

Symbolic-Based Recognition of Contact States for Learning Assembly Skills. - Ali Al-Yacoub; Yuchen Zhao; Niels Lohse; Yee Mey Goh; Peter Kinnell; Pedro Ferreira; Ella-Mae Hubbard (Frontiers Robotics AI, 2019)

Energy- and Labor-Aware Production Scheduling for Industrial Demand Response Using Adaptive Multiobjective Memetic Algorithm. - Xu Gong; Ying Liu 028; Niels Lohse; Toon De Pessemier; Luc Martens; Wout Joseph (IEEE Trans. Ind. Informatics, 2019)

Effective Human-Robot Collaboration Through Wearable Sensors. - Ali Al-Yacoub; Achim Buerkle; Myles Flanagan; Pedro Ferreira; Ella-Mae Hubbard; Niels Lohse (ETFA, 2020)

Integration of a scanning interferometer into a robotic inspection system for factory deployment. - István Bíró; Joanna Turner; J. Hodgson; Niels Lohse; Peter Kinnell (SII, 2020)

A Decision Support System for rapid ramp-up of industry 4.0 enabled production systems. - Stefanos Doltsinis; Pedro Ferreira; Mohammed M. Mabkhot; Niels Lohse (Comput. Ind., 2020)

A transformation of human operation approach to inform system design for automation. - Simon Micheler; Yee Mey Goh; Niels Lohse (J. Intell. Manuf., 2021)

Improving human robot collaboration through Force/Torque based learning for object manipulation. - Ali Al-Yacoub; Yuchen Zhao; William Eaton; Yee Mey Goh; Niels Lohse (Robotics Comput. Integr. Manuf., 2021)

Feasibility of Detecting Potential Emergencies in Symbiotic Human-Robot Collaboration with a mobile EEG. - Achim Buerkle; Thomas Bamber; Niels Lohse; Pedro Ferreira (Robotics Comput. Integr. Manuf., 2021)

EEG based arm movement intention recognition towards enhanced safety in symbiotic Human-Robot Collaboration. - Achim Buerkle; William Eaton; Niels Lohse; Thomas Bamber; Pedro Ferreira (Robotics Comput. Integr. Manuf., 2021)

Toward a sustainable educational engineer archetype through Industry 4.0. - 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; et al. (Comput. Ind., 2022)

An adapation Framework for Industry 4.0 Responsive Production Systems. - Mohammed M. Mabkhot; Niels Lohse; Pedro Ferreira (INDIN, 2023)

Mobile Robots for Collaborative Manipulation over Uneven Ground Using Decentralised Impedance Control. - Myles Flanagan; Niels Lohse; Pedro Ferreira (TAROS, 2023)

An Incremental Learning Approach to Detect Muscular Fatigue in Human- Robot Collaboration. - Achim Buerkle; Ali Al-Yacoub; William Eaton; Melanie Zimmer; Thomas Bamber; Pedro Ferreira; Ella-Mae Hubbard; Niels Lohse (IEEE Trans. Hum. Mach. Syst., 2023)

Towards industrial robots as a service (IRaaS): Flexibility, usability, safety and business models. - Achim Buerkle; William Eaton; Ali Al-Yacoub; Melanie Zimmer; Peter Kinnell; Michael Henshaw; Matthew Coombes; Wen-Hua Chen 001; Niels Lohse (Robotics Comput. Integr. Manuf., 2023)

Automatic definition of engineer archetypes: A text mining approach. - Francesco Lupi; Mohammed M. Mabkhot; Eleonora Boffa; Pedro Ferreira; Dario Antonelli; Antonio Maffei; Niels Lohse; Michele Lanzetta (Comput. Ind., 2023)

On the Design of Human-Robot Collaboration Gestures. - Anas Shrinah; Masoud S. Bahraini; Fahad Khan; Seemal Asif; Niels Lohse; Kerstin Eder (CoRR, 2024)

Estimating adaptation effort in industry 4.0-enabled systems: Introducing two complexity indices with an evolvable network graph approach. - Mohammed M. Mabkhot; Pedro Ferreira; William Eaton; Niels Lohse (J. Ind. Inf. Integr., 2024)

Design and Analysis of Data Synthesis Pipeline for Assembly Detection with Domain Randomization. - Cong Sun; Peter Kinnell; Claire Guo; Mohammed M. Mabkhot; Niels Lohse (ICARA, 2025)

Rapid and automated configuration of robot manufacturing cells. - 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; et al. (Robotics Comput. Integr. Manuf., 2025)