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Intelligent Automation Centre

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Scopus Author ID: 6603252771
Scopus Author ID: 6603252771

Biography

Dr Niels Lohse is a full Professor of Manufacturing Automation and Robotics at the University of Birmingham, UK. Previously, he was the director of the Intelligent Automation Centre at Loughborough University, UK until 03/2024. He graduated with a first class Dipl.-Ing. degree in Mechanical Engineering from the University of Applied Science Hamburg, Germany in 2000. Dr Lohse obtained his MSc in Technology Management from the University of Portsmouth in 2001 and received his PhD in Manufacturing Engineering and Operations Management from the University of Nottingham in 2006.
Dr Lohse was a lecture in Advanced Manufacturing Technology at the University of Nottingham from 2006 until 2013. He joint the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University as senior lecturer in 2014 where he teaches Automation and Robotics.
His research is focused on intelligent automation including human-robot collaboration, autonomous industrial robots, skill-based automation, manufacturing system modelling, distributed control, diagnostics and design decision-support with a primary focus on modular and evolvable production systems, cyber-physical systems and applications of artificial intelligence techniques in manufacturing.
Dr Lohse is a member of the IEEE IES Technical Committee on Industrial Agents and the IEEE SMC Technical Committee on Intelligent Industrial Systems (Society Member since 2013). He actively contribution to the IEEE P2660.1 Working Group - Recommended Practices on Industrial Agents: Integration of Software Agents and Low Level Automation Functions.

Activities

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Employment (7)

The University of Birmingham: Birmingham, GB

Employment
Source: check_circle
University of Birmingham

University of Birmingham: Birmingham, GB

2024-04-01 to present | Professor of Manufacturing Automation and Robotics (School of Engineering)
Employment
Source: Self-asserted source
Niels Lohse

Loughborough University: Loughborough, Leicestershire, GB

2022-04-01 to 2024-03-31 | Professor of Manufacturing Automation and Robotics (Wolfson School of Mechanical, Electrical and Manufacturing Engineering)
Employment
Source: Self-asserted source
Niels Lohse

Loughborough University: Loughborough, Leicestershire, GB

2018-08-01 to 2022-03-31 | Reader in Manufacturing Automation and Robotics (Wolfson School of Mechanical, Electrical and Manufacturing Engineering)
Employment
Source: Self-asserted source
Niels Lohse

Loughborough University: Loughborough, Leicestershire, GB

2014-01-01 to 2018-07-31 | Senior Lecturer in Intelligent Automation (Wolfson School of Mechanical, Electrical and Manufacturing Engineering)
Employment
Source: Self-asserted source
Niels Lohse

University of Nottingham: Nottingham, Nottinghamshire, GB

2006-09-01 to 2013-12-31 | Lecturer in Advanced Manufacturing Technology (School of Mechanical, Materials and Manufacturing Engineering)
Employment
Source: Self-asserted source
Niels Lohse

University of Nottingham: Nottingham, Nottinghamshire, GB

2004-11-01 to 2006-08-31 | Research Associate (School of Mechanical, Materials and Manufacturing Engineering)
Employment
Source: Self-asserted source
Niels Lohse

Education and qualifications (3)

University of Nottingham: Nottingham, Nottinghamshire, GB

2001-10-01 to 2006-06-30 | PhD (School of Mechanical, Materials and Manufacturing Engineering)
Education
Source: Self-asserted source
Niels Lohse

University of Portsmouth: Portsmouth, Hampshire, GB

2000-09-01 to 2001-09-30 | MSc in Technology Management (Department of Mechanical and Manufacturing Engineering)
Education
Source: Self-asserted source
Niels Lohse

Hochschule für Angewandte Wissenschaften Hamburg: Hamburg, Hamburg, DE

1996-09-01 to 2000-08-31 | Dipl.-Ing. (MEng) in Mechanical Engineering (Department of Mechanical Engineering)
Education
Source: Self-asserted source
Niels Lohse

Funding (23)

EPSRC Capital Award for Core Equipment 2022/23 - UnMet Demand

2023-01-03 to 2024-07-01 | Grant
Engineering and Physical Sciences Research Council (Swindon, GB)
URL: https://app.dimensions.ai/details/grant/grant.13249554
GRANT_NUMBER: EP/X035433/1
Source: Self-asserted source
Niels Lohse via DimensionsWizard

Made Smarter Innovation - Research Centre for Smart, Collaborative Industrial Robotics

2021-09-29 to 2025-03-29 | Grant
Engineering and Physical Sciences Research Council (Swindon, GB)
URL: https://app.dimensions.ai/details/grant/grant.9849189
GRANT_NUMBER: EP/V062158/1
Source: Self-asserted source
Niels Lohse via DimensionsWizard

Industrial Robots-as-a-Service (IRaaS) - Resilient and responsive manufacturing systems enabled by rapidly deployable mobile robots

2021-05-01 to 2024-07-31 | Grant
Engineering and Physical Sciences Research Council (Swindon, GB)
URL: https://app.dimensions.ai/details/grant/grant.9642159
GRANT_NUMBER: EP/V050966/1
Source: Self-asserted source
Niels Lohse via DimensionsWizard

Reconfigurable robotics for responsive manufacture - R3M

2021-04-30 to 2024-04-29 | Grant
Engineering and Physical Sciences Research Council (Swindon, GB)
URL: https://app.dimensions.ai/details/grant/grant.9642839
GRANT_NUMBER: EP/V051180/1
Source: Self-asserted source
Niels Lohse via DimensionsWizard

Swarm Robotics: Dynamic and self-organising mobile robot systems

2019-01-01 to 2022-06-29 | Grant
Engineering and Physical Sciences Research Council (Swindon, GB)
URL: https://app.dimensions.ai/details/grant/grant.7924908
GRANT_NUMBER: 2165964
Source: Self-asserted source
Niels Lohse via DimensionsWizard

Digital Toolkit for optimisation of operators and technology in manufacturing partnerships (DigiTOP)

2018-06-30 to 2021-09-29 | Grant
Engineering and Physical Sciences Research Council (Swindon, GB)
URL: https://app.dimensions.ai/details/grant/grant.7612144
GRANT_NUMBER: EP/R032718/1
Source: Self-asserted source
Niels Lohse via DimensionsWizard

Learning Robotic Tasks from Human Demonstrations

2017-09-30 to 2021-04-29 | Grant
Engineering and Physical Sciences Research Council (Swindon, GB)
URL: https://app.dimensions.ai/details/grant/grant.8558297
GRANT_NUMBER: 2238850
Source: Self-asserted source
Niels Lohse via DimensionsWizard

Flexible and Reconfigurable Laser Processing Tool (FlexLase)

2016-01-01 to 2017-12-31 | Grant
Engineering and Physical Sciences Research Council (Swindon, GB)
URL: https://app.dimensions.ai/details/grant/grant.4107099
GRANT_NUMBER: EP/N508913/1
Source: Self-asserted source
Niels Lohse via DimensionsWizard

openMOS: Open dynamic Manufacturing Operating System for Smart Plug-and-Produce Automation Components

2015-10 to 2019-01 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 680735
Source: Self-asserted source
Niels Lohse

PERFoRM: Production harmonizEd Reconfiguration of Flexible Robots and Machinery

2015-10 to 2018-09 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 680435
Source: Self-asserted source
Niels Lohse

EuRoC: European Robotics Challenge

2015-07 to 2017-06 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 608849
Source: Self-asserted source
Niels Lohse

Co-FACTOR: Cooperate, Communicate and Connect to boost smart Components for tomorrows Industry

2015-01 to 2016-12 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 637178
Source: Self-asserted source
Niels Lohse

SelSus: Health Monitoring and Life-Long Capability Management for SELf-SUStaining Manufacturing Systems

2013-09 to 2017-08 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 609382
Source: Self-asserted source
Niels Lohse

ReBORN: Innovative Reuse of modular knowledge Based devices and technologies for Old, Renewed and New factories

2013-09 to 2016-08 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 609223
Source: Self-asserted source
Niels Lohse

To design, develop and implement a knowledge system which provides accuracy and confidence in the selection, design and specification of Conveyors to meet customer requirements.

2013-07 to 2016-01 | Grant
Innovate UK (Swindon, GB)
GRANT_NUMBER: 9237
Source: Self-asserted source
Niels Lohse

EPSRC Centre for Innovative Manufacturing in Intelligent Automation

2011-06-30 to 2017-03-30 | Grant
Engineering and Physical Sciences Research Council (Swindon, GB)
URL: https://app.dimensions.ai/details/grant/grant.2785096
GRANT_NUMBER: EP/I033467/1
Source: Self-asserted source
Niels Lohse via DimensionsWizard

TRANSPARENCY: Adaptive Business Collaboration by progressive knowledge sharing and engineering

2010-10 to 2013-09 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 246273
Source: Self-asserted source
Niels Lohse

COPERNICO: Cooperation Environment For Rapid Design prototyping and New Integration Concepts for Factory of the Future

2010-05 to 2014-04 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 229025
Source: Self-asserted source
Niels Lohse

IDEAS: Instantly Deployable Evolvable Assembly Systems

2010-04 to 2013-06 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 246083
Source: Self-asserted source
Niels Lohse

FRAME: Fast Ramp-up and Adaptive Manufacturing Environment

2009-10 to 2012-09 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 229208
Source: Self-asserted source
Niels Lohse

FLEXA: Advanced flexible automation cell

2008-06 to 2012-11 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 213734
Source: Self-asserted source
Niels Lohse

CATER: Computerized Automotive Technology Reconfiguration System for mass customization

2006-09 to 2009-08 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 035030
Source: Self-asserted source
Niels Lohse

EUPASS: Evolvable Ultra-Precision Assembly Systems

2004-11 to 2009-03 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER: 507978
Source: Self-asserted source
Niels Lohse

Works (50 of 99)

Items per page:
Page 1 of 2

Rapid and automated configuration of robot manufacturing cells

Robotics and Computer-Integrated Manufacturing
2025-04 | Journal article | Author
DOI: 10.1016/j.rcim.2024.102862
SOURCE-WORK-ID:

6545d7cf-144b-4fce-9a97-90da10116bca

EID:

2-s2.0-85203192901
Contributors: Seemal Asif; Mikel Bueno; Pedro Ferreira; Paul Anandan; Ze Zhang; Yue Yao; Gautham Ragunathan; Lloyd Tinkler; Seyed Masoud Sotoodeh Bahraini; Niels Lohse et al.
Source: check_circle
University of Birmingham

The Regulation, Governance and Ethics of Smart Robotic Systems in Manufacturing

2025-03-04 | Report | Author
DOI: 10.17028/rd.lboro.28360496.v1
SOURCE-WORK-ID:

206d0ec2-f497-4f3b-91d5-7230d87f6110
Contributors: Tiziana C. Callari; Angela Daly; Riccardo Vecellio Segate; Rebecca Raper; Ella-Mae Hubbard; Niels Lohse
Source: check_circle
University of Birmingham

On the Design of Human-Robot Collaboration Gestures

2024-02-29 | Working paper | Author
DOI: 10.48550/arXiv.2402.19058
SOURCE-WORK-ID:

b7876e5a-ece8-46dc-9c70-26812414c836

ARXIV: http://arxiv.org/abs/2402.19058v1
Contributors: Anas Shrinah; Seyed Masoud Sotoodeh Bahraini; Fahad Khan; Seemal Asif; Niels Lohse; Kerstin Eder
Source: check_circle
University of Birmingham

Automatic definition of engineer archetypes

Computers in Industry
2023-11 | Journal article | Author
DOI: 10.1016/j.compind.2023.103996
SOURCE-WORK-ID:

43f169d2-40a8-47f5-bb07-0881802f1511

EID:

2-s2.0-85167433015
Contributors: Francesco Lupi; Mohammed M. Mabkhot; Eleonora Boffa; Pedro Ferreira; Dario Antonelli; Antonio Maffei; Niels Lohse; Michele Lanzetta
Source: check_circle
University of Birmingham

Mobile Robots for Collaborative Manipulation over Uneven Ground Using Decentralised Impedance Control

Towards Autonomous Robotic Systems
2023-09-08 | Conference paper | Author
DOI: 10.1007/978-3-031-43360-3_28
SOURCE-WORK-ID:

84125c08-5ec4-419b-ad7c-aa80ec020fa8

EID:

2-s2.0-85171991212

Part of ISBN: 9783031433603
Part of ISBN: 9783031433597
Contributors: Myles Flanagan; Niels Lohse; Pedro Ferreira
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

An adapation Framework for Industry 4.0 Responsive Production Systems

2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
2023-08-22 | Conference paper | Author
DOI: 10.1109/INDIN51400.2023.10218127
SOURCE-WORK-ID:

5293ba4d-723f-4df6-840c-fe8e9f309888

EID:

2-s2.0-85171143878

Part of ISBN: 9781665493130
Part of ISBN: 9781665493147 (PoD)
Contributors: Mohammed M. Mabkhot; Niels Lohse; Pedro Ferreira
Source: check_circle
University of Birmingham

Developing digital twins of multi-camera metrology systems in Blender

Measurement Science and Technology
2023-07 | Journal article | Author
DOI: 10.1088/1361-6501/acc59e
SOURCE-WORK-ID:

e9d7720c-b5d7-4752-aa7c-72e0682dcbd6

EID:

2-s2.0-85151543191
Contributors: C. Pottier; J. Petzing; F. Eghtedari; Niels Lohse; P. Kinnell
Source: check_circle
University of Birmingham

An Incremental Learning Approach to Detect Muscular Fatigue in Human- Robot Collaboration

IEEE Transactions on Human-Machine Systems
2023-06 | Journal article | Author
DOI: 10.1109/THMS.2023.3259139
SOURCE-WORK-ID:

b0b58c61-879e-440e-b1ae-f51dee50a654

EID:

2-s2.0-85153359833
Contributors: Achim Buerkle; Ali Al-Yacoub; William Eaton; Melanie Zimmer; Thomas Bamber; Pedro Ferreira; Ella Mae Hubbard; Niels Lohse
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

Robust Adaptive Fuzzy Fractional Control for Nonlinear Chaotic Systems with Uncertainties

Fractal and Fractional
2023-06-18 | Journal article | Author
DOI: 10.3390/fractalfract7060484
SOURCE-WORK-ID:

7c91179f-1ff8-459b-9520-fb0e20aea4c4

EID:

2-s2.0-85163930432
Contributors: Seyed Masoud Sotoodeh Bahraini; Mohammad Javad Mahmoodabadi; Niels Lohse
Source: check_circle
University of Birmingham
grade
Preferred source (of 3)‎

Measurement Techniques for Three-Dimensional Metrology of High Aspect Ratio Internal Features—A Review

Metrology
2023-04-17 | Journal article
DOI: 10.3390/metrology3020009
Contributors: Tom Hovell; Jon Petzing; Wen Guo; Connor Gill; Laura Justham; Niels Lohse; Peter Kinnell
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Experimental study to investigate mental workload of local vs remote operator in human-machine interaction

Production and Manufacturing Research
2022-12-31 | Journal article | Author
DOI: 10.1080/21693277.2022.2090458
SOURCE-WORK-ID:

534be791-6383-4ec4-b027-16f74da770a5

EID:

2-s2.0-85132981645
Contributors: Melanie Zimmer; Ali Al-Yacoub; Pedro Ferreira; Ella Mae Hubbard; Niels Lohse
Source: check_circle
University of Birmingham

An adaptive human sensor framework for human–robot collaboration

International Journal of Advanced Manufacturing Technology
2022-03 | Journal article | Author
DOI: 10.1007/s00170-021-08299-2
SOURCE-WORK-ID:

69623db2-308c-4c90-8d77-5015be36a9e4

EID:

2-s2.0-85119882560
Contributors: Achim Buerkle; Harveen Matharu; Ali Al-Yacoub; Niels Lohse; Thomas Bamber; Pedro Ferreira
Source: check_circle
University of Birmingham

Toward a sustainable educational engineer archetype through Industry 4.0

Computers in Industry
2022-01 | Journal article | Author
DOI: 10.1016/j.compind.2021.103543
SOURCE-WORK-ID:

e76fa09c-1c25-4a08-bb7e-1b689332f34f

EID:

2-s2.0-85121394547
Contributors: Francesco Lupi; Mohammed M. Mabkhot; Miha Finžgar; Paolo Minetola; Dorota Stadnicka; Antonio Maffei; Paweł Litwin; Eleonora Boffa; Pedro Ferreira; Primož Podržaj et al.
Source: check_circle
University of Birmingham

Feasibility of Detecting Potential Emergencies in Symbiotic Human-Robot Collaboration with a mobile EEG

Robotics and Computer-Integrated Manufacturing
2021-12 | Journal article | Author
DOI: 10.1016/j.rcim.2021.102179
SOURCE-WORK-ID:

5211a9d1-5099-4b24-838f-ecd32045ebb0

EID:

2-s2.0-85105351684
Contributors: Achim Buerkle; Thomas Bamber; Niels Lohse; Pedro Ferreira
Source: check_circle
University of Birmingham

EEG based arm movement intention recognition towards enhanced safety in symbiotic Human-Robot Collaboration

Robotics and Computer-Integrated Manufacturing
2021-08 | Journal article | Author
DOI: 10.1016/j.rcim.2021.102137
SOURCE-WORK-ID:

d031e357-1da5-4566-aaff-0638fc0dda0e

EID:

2-s2.0-85101422922
Contributors: Achim Buerkle; William Eaton; Niels Lohse; Thomas Bamber; Pedro Ferreira
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

Mental workload of local vs remote operator in human-machine interaction case study

Advances in Manufacturing Technology XXXIV
2021-08-31 | Conference paper | Author
DOI: 10.3233/ATDE210008
SOURCE-WORK-ID:

f1447834-9559-435c-b0b7-31d671a249b1

EID:

2-s2.0-85116394552

Part of ISBN: 9781643681993
Part of ISBN: 9781643681986
Contributors: Melanie Zimmer; Ali Al-Yacoub; Pedro Ferreira; Ella Mae Hubbard; Niels Lohse
Source: check_circle
University of Birmingham

Improving human robot collaboration through Force/Torque based learning for object manipulation

Robotics and Computer-Integrated Manufacturing
2021-06 | Journal article | Author
DOI: 10.1016/j.rcim.2020.102111
SOURCE-WORK-ID:

4093c711-263e-4981-96fb-e2560f78b708

EID:

2-s2.0-85098884643
Contributors: A. Al-Yacoub; Y. C. Zhao; W. Eaton; Y. M. Goh; Niels Lohse
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

Data-driven modelling of human-human co-manipulation using force and muscle surface electromyogram activities

Electronics (Switzerland)
2021-06-22 | Journal article | Author
DOI: 10.3390/electronics10131509
SOURCE-WORK-ID:

23de886a-e01d-436d-8e57-5e4c30ed5eab

EID:

2-s2.0-85108281021
Contributors: Ali Al-Yacoub; Myles Flanagan; Achim Buerkle; Thomas Bamber; Pedro Ferreira; Ella Mae Hubbard; Niels Lohse
Source: check_circle
University of Birmingham
grade
Preferred source (of 3)‎

Mapping industry 4.0 enabling technologies into united nations sustainability development goals

Sustainability (Switzerland)
2021-02-27 | Journal article | Author
DOI: 10.3390/su13052560
SOURCE-WORK-ID:

66c826b6-e322-410b-b97a-e2533b18228b

EID:

2-s2.0-85102285284
Contributors: Mohammed M. Mabkhot; Pedro Ferreira; Antonio Maffei; Primož Podržaj; Maksymilian Mądziel; Dario Antonelli; Michele Lanzetta; Jose Barata; Eleonora Boffa; Miha Finžgar et al.
Source: check_circle
University of Birmingham
grade
Preferred source (of 3)‎

A transformation of human operation approach to inform system design for automation

Journal of Intelligent Manufacturing
2021-01 | Journal article | Author
DOI: 10.1007/s10845-020-01568-z
SOURCE-WORK-ID:

0b40fc9f-694b-4fb2-8e04-7413c55ccf32

EID:

2-s2.0-85086124842
Contributors: Simon Micheler; Yee Mey Goh; Niels Lohse
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

Effective Human-Robot Collaboration through Wearable Sensors

Proceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020
2020-09 | Conference paper | Author
DOI: 10.1109/ETFA46521.2020.9212100
SOURCE-WORK-ID:

e6eae4ed-34bd-455e-b45c-e00c5380b577

EID:

2-s2.0-85093363816

Part of ISBN: 9781728189567
Contributors: Ali Al-Yacoub; Achim Buerkle; Myles Flanagan; Pedro Ferreira; Ella Mae Hubbard; Niels Lohse
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

A Decision Support System for rapid ramp-up of industry 4.0 enabled production systems

Computers in Industry
2020-04 | Journal article | Author
DOI: 10.1016/j.compind.2020.103190
SOURCE-WORK-ID:

0be184c8-5a5e-4cf2-874b-d48f46e0ec4b

EID:

2-s2.0-85078506439
Contributors: Stefanos Doltsinis; Pedro Ferreira; Mohammed M. Mabkhot; Niels Lohse
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

Integration of a scanning interferometer into a robotic inspection system for factory deployment

Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020
2020-01 | Conference paper | Author
DOI: 10.1109/SII46433.2020.9025972
SOURCE-WORK-ID:

fc72b2d0-b784-40a6-ad0b-f3c88e6c06d8

EID:

2-s2.0-85082617219

Part of ISBN: 9781728166674
Contributors: I. Biro; J. Turner; J. Hodgson; Niels Lohse; P. Kinnell
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

Dynamic vs dedicated automation systems - a study in large structure assembly

Production and Manufacturing Research
2020-01-01 | Journal article | Author
DOI: 10.1080/21693277.2020.1737591
SOURCE-WORK-ID:

b397583e-e0e4-41b5-ba38-30f6afcab1e7

EID:

2-s2.0-85082560022
Contributors: Spartak Ljasenko; Niels Lohse; Laura Justham
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

Symbolic-Based Recognition of Contact States for Learning Assembly Skills

Frontiers in Robotics and AI
2019-10-17 | Journal article | Author
DOI: 10.3389/frobt.2019.00099
SOURCE-WORK-ID:

5f5634db-5c1a-418a-a703-7e8daf809f23

EID:

2-s2.0-85091916623
Contributors: Ali Al-Yacoub; Yuchen Zhao; Niels Lohse; Mey Goh; Peter Kinnell; Pedro Ferreira; Ella Mae Hubbard
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

Integrated design environment for reusable modular assembly systems

Assembly Automation
2019-10-03 | Journal article | Author
DOI: 10.1108/AA-11-2017-154
SOURCE-WORK-ID:

5c667932-bc60-4db5-84ee-27b54ea5f16f

EID:

2-s2.0-85067310526
Contributors: Pedro Ferreira; Paul Danny Anandan; Ivo Pereira; Vikrant Hiwarkar; Mohmed Sayed; Niels Lohse; Susana Aguiar; Gil Gonçalves; Joana Gonçalves; Fabian Bottinger
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

Understanding human decision-making during production ramp-up using natural language processing

Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019
2019-07 | Conference paper | Author
DOI: 10.1109/INDIN41052.2019.8972033
SOURCE-WORK-ID:

4687f92a-a2b3-4224-90c7-521b7fe96545

EID:

2-s2.0-85079057885

Part of ISBN: 9781728129273
Contributors: Melanie Zimmer; Ali Al-Yacoub; Pedro Ferreira; Niels Lohse
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

Towards an automated masking process

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
2019-07-01 | Journal article | Author
DOI: 10.1177/0954405418810058
SOURCE-WORK-ID:

30065c0a-1de3-42b8-8f26-f6296d238b7e

EID:

2-s2.0-85060511875
Contributors: Khaled Elgeneidy; Ali Al-Yacoub; Zahid Usman; Niels Lohse; Michael Jackson; Iain Wright
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

Towards a decision-support framework for reducing ramp-up effort in plug-and-produce systems

Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
2019-05 | Conference paper | Author
DOI: 10.1109/ICPHYS.2019.8780369
SOURCE-WORK-ID:

dfacbef0-4925-4087-aeb4-096b31d36ade

EID:

2-s2.0-85070908402

Part of ISBN: 9781538685006
Contributors: Melanie Zimmer; Pedro Ferreira; Paul Danny; Ali Al-Yacoub; Niels Lohse; Valerio Gentile
Source: check_circle
University of Birmingham
grade
Preferred source (of 2)‎

Energy-and Labor-Aware Production Scheduling for Industrial Demand Response Using Adaptive Multiobjective Memetic Algorithm

IEEE Transactions on Industrial Informatics
2019-02 | Journal article | Author
DOI: 10.1109/TII.2018.2839645
SOURCE-WORK-ID:

a7e885cf-cb29-4e60-bf07-c63948035479

EID:

2-s2.0-85047649097
Contributors: Xu Gong; Ying Liu; Niels Lohse; Toon De Pessemier; Luc Martens; Wout Joseph
Source: check_circle
University of Birmingham
grade
Preferred source (of 3)‎

Decentralised vs partially centralised self-organisation model for mobile robots in large structure assembly

Computers in Industry
2019-01 | Journal article | Author
DOI: 10.1016/j.compind.2018.09.002
SOURCE-WORK-ID:

5b97f6a8-2016-401f-9a40-0dc7e86ff950

EID:

2-s2.0-85053892430
Contributors: Spartak Ljasenko; Pedro Ferreira; Laura Justham; Niels Lohse
Source: check_circle
University of Birmingham
grade
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Innovation landscape and challenges of smart technologies and systems–a European perspective

Production and Manufacturing Research
2019-01-01 | Journal article | Author
DOI: 10.1080/21693277.2019.1687363
SOURCE-WORK-ID:

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EID:

2-s2.0-85075162354
Contributors: Simon Micheler; Yee Mey Goh; Niels Lohse
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University of Birmingham
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PERFoRM Methods and Tools

Digitalized and Harmonized Industrial Production Systems
2019-01-01 | Book chapter | Author
DOI: 10.1201/9780429263316-7
SOURCE-WORK-ID:

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EID:

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Part of ISBN: 9780429553899
Part of ISBN: 9780367206611
Contributors: Sebastian Thiede; Lennart Büth; Benjamin Neef; Phil Ogun; Niels Lohse; Birgit Obst; Mostafizur Rahman; José Barbosa
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University of Birmingham

Directly printable flexible strain sensors for bending and contact feedback of soft actuators

Frontiers Robotics AI
2018 | Journal article | Author
DOI: 10.3389/frobt.2018.00002
SOURCE-WORK-ID:

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EID:

2-s2.0-85050152973
Contributors: Khaled Elgeneidy; Gerhard Neumann; Michael Jackson; Niels Lohse
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University of Birmingham
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Printable soft grippers with integrated bend sensing for handling of crops

Towards Autonomous Robotic Systems - 19th Annual Conference, TAROS 2018, Proceedings
2018 | Conference paper | Author
SOURCE-WORK-ID:

1ec96c6f-dcbb-4847-ae0e-8fac521bdcc9

EID:

2-s2.0-85051117031

Part of ISBN: 9783319967271
Contributors: Khaled Elgeneidy; Pengcheng Liu; Simon Pearson; Niels Lohse; Gerhard Neumann
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University of Birmingham
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Contact Detection and Size Estimation Using a Modular Soft Gripper with Embedded Flex Sensors

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
2018-12-27 | Conference paper | Author
DOI: 10.1109/IROS.2018.8593399
SOURCE-WORK-ID:

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EID:

2-s2.0-85062980236

Part of ISBN: 9781538680940
Contributors: Khaled Elgeneidy; Gerhard Neumann; Simon Pearson; Michael Jackson; Niels Lohse
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University of Birmingham
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An Event-Based AutomationML Model for the Process Execution of Plug-and-Produce' Assembly Systems

Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018
2018-09-24 | Conference paper | Author
DOI: 10.1109/INDIN.2018.8471955
SOURCE-WORK-ID:

1b02ff53-f0e0-4b07-b3ed-80474a254961

EID:

2-s2.0-85055527890

Part of ISBN: 9781538648292
Contributors: Paul Danny; Pedro Ferreira; Niels Lohse; Kirill Dorofeev
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University of Birmingham
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A symbiotic human-machine learning approach for production ramp-up

IEEE Transactions on Human-Machine Systems
2018-06 | Journal article | Author
DOI: 10.1109/THMS.2017.2717885
SOURCE-WORK-ID:

985af9f4-b751-4137-8c89-c892d2109b73

EID:

2-s2.0-85028908603
Contributors: Stefanos Doltsinis; Pedro Ferreira; Niels Lohse
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University of Birmingham
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Abnormality detection strategies for surface inspection using robot mounted laser scanners

Mechatronics
2018-05 | Journal article | Author
DOI: 10.1016/j.mechatronics.2018.03.001
SOURCE-WORK-ID:

84228b16-0ea6-42dc-b48c-d898e331a6fe

EID:

2-s2.0-85044163934
Contributors: Sara Sharifzadeh; Istvan Biro; Niels Lohse; Peter Kinnell
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University of Birmingham
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Bending angle prediction and control of soft pneumatic actuators with embedded flex sensors – A data-driven approach

Mechatronics
2018-04 | Journal article | Author
DOI: 10.1016/j.mechatronics.2017.10.005
SOURCE-WORK-ID:

7c7d67cc-4f4a-4539-8c75-e74e770c6f15

EID:

2-s2.0-85032205469
Contributors: Khaled Elgeneidy; Niels Lohse; Michael Jackson
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University of Birmingham
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Soft pneumatic grippers embedded with stretchable electroadhesion

Smart Materials and Structures
2018-03-27 | Journal article | Author
DOI: 10.1088/1361-665X/aab579
SOURCE-WORK-ID:

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EID:

2-s2.0-85046690118
Contributors: J. Guo; K. Elgeneidy; C. Xiang; Niels Lohse; L. Justham; J. Rossiter
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University of Birmingham
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A self-organisation model for mobile robots in large structure assembly using multi-agent systems

Studies in Computational Intelligence
2017 | Book chapter | Author
DOI: 10.1007/978-3-319-51100-9_8
SOURCE-WORK-ID:

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EID:

2-s2.0-85014965664
Contributors: Spartak Ljasenko; Niels Lohse; Laura Justham; Ivo Pereira; Michael Jackson
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University of Birmingham
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Applying object-oriented bayesian networks for smart diagnosis and health monitoring at both component and factory level

Advances in Artificial Intelligence
2017 | Conference paper | Author
DOI: 10.1007/978-3-319-60045-1_16
SOURCE-WORK-ID:

4b5a6a69-9e02-47f2-b7dc-cbec5992bfe1

EID:

2-s2.0-85026298908

Part of ISBN: 9783319600444
Contributors: Anders L. Madsen; Nicolaj Søndberg-Jeppesen; Mohamed S. Sayed; Michael Peschl; Niels Lohse
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University of Birmingham
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Parameter learning algorithms for continuous model improvement using operational data

Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 14th European Conference, ECSQARU 2017, Proceedings
2017 | Conference paper | Author
DOI: 10.1007/978-3-319-61581-3_11
SOURCE-WORK-ID:

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EID:

2-s2.0-85025175994

Part of ISBN: 9783319615806
Contributors: Anders L. Madsen; Nicolaj Søndberg Jeppesen; Frank Jensen; Mohamed S. Sayed; Ulrich Moser; Luis Neto; Joao Reis; Niels Lohse
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University of Birmingham
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Redundant and decentralised directory facilitator for resilient plug and produce cyber physical production systems

Studies in Computational Intelligence
2017 | Book chapter | Author
DOI: 10.1007/978-3-319-51100-9_7
SOURCE-WORK-ID:

79521d89-cb93-40d7-a186-928188d9cdbb

EID:

2-s2.0-85014973132
Contributors: Flávio Páscoa; Ivo Pereira; Pedro Ferreira; Niels Lohse
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University of Birmingham
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Sequencing the features to minimise the non-cutting energy consumption in machining considering the change of spindle rotation speed

Energy
2017-11-15 | Journal article | Author
DOI: 10.1016/j.energy.2017.08.032
SOURCE-WORK-ID:

4e8148b3-cab2-46e8-bd60-862cf7620472

EID:

2-s2.0-85027885096
Contributors: Luoke Hu; Ying Liu; Niels Lohse; Renzhong Tang; Jingxiang Lv; Chen Peng; Steve Evans
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University of Birmingham
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Preferred source (of 2)‎

An AutomationML model for plug-and-produce assembly systems

Proceedings - 2017 IEEE 15th International Conference on Industrial Informatics, INDIN 2017
2017-11-10 | Conference paper | Author
DOI: 10.1109/INDIN.2017.8104883
SOURCE-WORK-ID:

0b1dc090-f2df-4cef-9457-9b470d1b1930

EID:

2-s2.0-85041205706

Part of ISBN: 9781538608371
Contributors: Paul Danny; Pedro Ferreira; Niels Lohse; Magno Guedes
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University of Birmingham
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Preferred source (of 2)‎

Novel metrics and methodology for the characterisation of 3D imaging systems

Optics and Lasers in Engineering
2017-04-01 | Journal article | Author
DOI: 10.1016/j.optlaseng.2016.11.007
SOURCE-WORK-ID:

2ccb38d5-7ca5-469a-83da-3e69257e97e3

EID:

2-s2.0-84999287843
Contributors: John R. Hodgson; Peter Kinnell; Laura Justham; Niels Lohse; Michael R. Jackson
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University of Birmingham
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Preferred source (of 2)‎

Human skill capture

2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
2017-02-06 | Conference paper | Author
DOI: 10.1109/SMC.2016.7844315
SOURCE-WORK-ID:

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EID:

2-s2.0-85015793277

Part of ISBN: 9781509018970
Contributors: Y. C. Zhao; A. Al-Yacoub; Y. M. Goh; L. Justham; Niels Lohse; M. R. Jackson
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University of Birmingham
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Preferred source (of 2)‎

A Comparison of the Manufacturing Resilience between Fixed Automation Systems and Mobile Robots in Large Structure Assembly

Procedia CIRP
2016 | Conference paper
DOI: 10.1016/j.procir.2016.11.041
EID:

2-s2.0-85007004160

Part of ISSN: 22128271
Contributors: Ljasenko, S.; Lohse, N.; Justham, L.
Source: Self-asserted source
Niels Lohse via Scopus - Elsevier
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