An investigation into minimising total energy consumption and total weighted tardiness in job shops Y Liu, H Dong, N Lohse, S Petrovic, N Gindy Journal of Cleaner Production 65, 87-96, 2014 | 333 | 2014 |
Bending angle prediction and control of soft pneumatic actuators with embedded flex sensors–a data-driven approach K Elgeneidy, N Lohse, M Jackson Mechatronics 50, 234-247, 2018 | 231 | 2018 |
Soft pneumatic grippers embedded with stretchable electroadhesion J Guo, K Elgeneidy, C Xiang, N Lohse, L Justham, J Rossiter Smart Materials and Structures 27 (5), 055006, 2018 | 152 | 2018 |
The IDEAS project: plug & produce at shop‐floor level M Onori, N Lohse, J Barata, C Hanisch Assembly automation 32 (2), 124-134, 2012 | 149 | 2012 |
A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance Y Liu, H Dong, N Lohse, S Petrovic International Journal of Production Economics 179, 259-272, 2016 | 137 | 2016 |
Exploring the integration of the human as a flexibility factor in CPS enabled manufacturing environments: Methodology and results P Fantini, G Tavola, M Taisch, J Barbosa, P Leitão, Y Liu, MS Sayed, ... IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016 | 94 | 2016 |
Equipment ontology for modular reconfigurable assembly systems N Lohse, H Hirani, S Ratchev International journal of flexible manufacturing systems 17, 301-314, 2005 | 94 | 2005 |
Directly Printable Flexible Strain Sensors for Bending and Contact Feedback of Soft Actuators K Elgeneidy, G Neumann, M Jackson, N Lohse Frontiers in Robotics and AI 5, 2, 2018 | 88 | 2018 |
EEG based arm movement intention recognition towards enhanced safety in symbiotic Human-Robot Collaboration A Buerkle, W Eaton, N Lohse, T Bamber, P Ferreira Robotics and Computer-Integrated Manufacturing 70, 102137, 2021 | 85 | 2021 |
Mapping industry 4.0 enabling technologies into united nations sustainability development goals M M. Mabkhot, P Ferreira, A Maffei, P Podržaj, M Mądziel, D Antonelli, ... Sustainability 13 (5), 2560, 2021 | 84 | 2021 |
A fuzzy-decision-tree approach for manufacturing technology selection exploiting experience-based information L Evans, N Lohse, M Summers Expert Systems with Applications 40 (16), 6412-6426, 2013 | 79 | 2013 |
Reducing environmental impact of production during a rolling blackout policy–a multi-objective schedule optimisation approach Y Liu, H Dong, N Lohse, S Petrovic Journal of Cleaner Production 102, 418-427, 2015 | 66 | 2015 |
Towards an ontology framework for the integrated design of modular assembly systems N Lohse University of Nottingham, 2006 | 62 | 2006 |
An MDP model-based reinforcement learning approach for production station ramp-up optimization: Q-learning analysis S Doltsinis, P Ferreira, N Lohse IEEE Transactions on Systems, Man, and Cybernetics: Systems 44 (9), 1125-1138, 2014 | 61 | 2014 |
An ontology for the definition and validation of assembly processes for evolvable assembly systems N Lohse, H Hirani, S Ratchev, M Turitto (ISATP 2005). The 6th IEEE International Symposium on Assembly and Task …, 2005 | 58 | 2005 |
Improving human robot collaboration through Force/Torque based learning for object manipulation A Al-Yacoub, YC Zhao, W Eaton, YM Goh, N Lohse Robotics and Computer-Integrated Manufacturing 69, 102111, 2021 | 52 | 2021 |
Energy-and labor-aware production scheduling for industrial demand response using adaptive multiobjective memetic algorithm X Gong, Y Liu, N Lohse, T De Pessemier, L Martens, W Joseph IEEE Transactions on Industrial Informatics 15 (2), 942-953, 2018 | 49 | 2018 |
Towards industrial robots as a service (IRaaS): Flexibility, usability, safety and business models A Buerkle, W Eaton, A Al-Yacoub, M Zimmer, P Kinnell, M Henshaw, ... Robotics and Computer-Integrated Manufacturing 81, 102484, 2023 | 46 | 2023 |
A Decision Support System for rapid ramp-up of industry 4.0 enabled production systems S Doltsinis, P Ferreira, MM Mabkhot, N Lohse Computers in Industry 116, 103190, 2020 | 45 | 2020 |
Symbiotic Assembly Systems–A New Paradigm P Ferreira, S Doltsinis, N Lohse Procedia CIRP 17, 26-31, 2014 | 45 | 2014 |