Niels Lohse
Niels Lohse
Reader in Manufacturing Automation and Robotics, School of Mechanical, Electrical and Manufacturing
Verified email at
Cited by
Cited by
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
The IDEAS project: plug & produce at shop‐floor level
M Onori, N Lohse, J Barata, C Hanisch
Assembly automation, 2012
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
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
Equipment ontology for modular reconfigurable assembly systems
N Lohse, H Hirani, S Ratchev
International journal of flexible manufacturing systems 17 (4), 301-314, 2005
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
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
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
Towards an ontology framework for the integrated design of modular assembly systems
N Lohse
University of Nottingham, 2006
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
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
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
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
Towards web‐enabled design of modular assembly systems
N Lohse, S Ratchev, G Valtchanov
Assembly Automation, 2004
Symbiotic Assembly Systems–A New Paradigm
P Ferreira, S Doltsinis, N Lohse
Procedia CIRP 17, 26-31, 2014
Configuration model for evolvable assembly systems
P Ferreira, N Lohse
4th CIRP Conference On Assembly Technologies And Systems, 2012
Multi-agent architecture for reconfiguration of precision modular assembly systems
P Ferreira, N Lohse, S Ratchev
International Precision Assembly Seminar, 247-254, 2010
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
A framework for performance measurement during production ramp-up of assembly stations
SC Doltsinis, S Ratchev, N Lohse
European Journal of Operational Research 229 (1), 85-94, 2013
Evolvable Assembly Systems-On the role of design frameworks and supporting ontologies
N Lohse, S Ratchev, J Barata
2006 IEEE International Symposium on Industrial Electronics 4, 3375-3380, 2006
The system can't perform the operation now. Try again later.
Articles 1–20