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Niels Lohse
Niels Lohse
Professor of Manufacturing Automation and Robotics, School of Mechanical, Electrical and
Verified email at lboro.ac.uk
Title
Cited by
Cited by
Year
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
3282014
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
2232018
The IDEAS project: plug & produce at shop‐floor level
M Onori, N Lohse, J Barata, C Hanisch
Assembly automation 32 (2), 124-134, 2012
1512012
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
1442018
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
1372016
Equipment ontology for modular reconfigurable assembly systems
N Lohse, H Hirani, S Ratchev
International journal of flexible manufacturing systems 17, 301-314, 2005
952005
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
922016
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
832018
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
772013
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
762021
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
752021
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
662015
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
622014
Towards an ontology framework for the integrated design of modular assembly systems
N Lohse
University of Nottingham, 2006
622006
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
582005
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
472021
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
462018
Symbiotic Assembly Systems–A New Paradigm
P Ferreira, S Doltsinis, N Lohse
Procedia CIRP 17, 26-31, 2014
452014
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
432020
Towards Web‐enabled design of modular assembly systems
N Lohse, S Ratchev, G Valtchanov
Assembly Automation 24 (3), 270-279, 2004
412004
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