Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Research Publications


Publications for Ali Al-Yacoub

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Journal Articles

Buerkle, A, Matharu, H, Al-Yacoub, A, Lohse, N, Bamber, T, Ferreira, P (2021) An adaptive human sensor framework for human-robot collaboration, The International Journal of Advanced Manufacturing Technology, 119(1-2), pp.1233-1248, ISSN: 0268-3768. DOI: 10.1007/s00170-021-08299-2.

Al-Yacoub, A, Flanagan, M, Buerkle, A, Bamber, T, Ferreira, P, Hubbard, E-M, Lohse, N (2021) Data-driven modelling of human-human co-manipulation using force and muscle surface electromyogram activities, Electronics, 10(13), 1509, DOI: 10.3390/electronics10131509.

Al-Yacoub, A, Zhao, Y, Eaton, W, Goh, Y, Lohse, N (2021) Improving human robot collaboration through force/torque based learning for object manipulation, Robotics and Computer Integrated Manufacturing, 69, 102111, ISSN: 0736-5845. DOI: 10.1016/j.rcim.2020.102111.

Al-Yacoub, A, Zhao, Y, Lohse, N, Goh, Y, Kinnell, P, Ferreira, P, Hubbard, E-M (2019) Symbolic-based recognition of contact states for learning assembly skills, Frontiers in Robotics and AI, 6, 99, DOI: 10.3389/frobt.2019.00099.

Elgeneidy, K, Al-Yacoub, A, Usman, Z, Lohse, N, Jackson, MR, Wright, I (2018) Towards an automated masking process: a model-based approach, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, ISSN: 0954-4054. DOI: 10.1177/0954405418810058.



Conferences

Zimmer, M, Al-Yacoub, A, Ferreira, P, Hubbard, E-M, Lohse, N (2021) Mental workload of local vs remote operator in human-machine interaction case study. In 18th International Conference in Manufacturing Research (ICMR 2021), Derby, UK (Virtual), pp.33-38, ISBN: 9781643681986. DOI: 10.3233/ATDE210008.

Workman, M, Al-Yacoub, A, Hubbard, E-M (2021) Wearable sensor tools for efficient human robot interaction. In UKRAS21 Conference: “Robotics at home”; UKRAS21 Conference: “Robotics at home” Proceedings, University of Hertfordshire, pp.57-58, DOI: 10.31256/Id1Am2D.

Buerkle, A, Al-Yacoub, A, Ferreira, P (2020) An incremental learning approach for physical human-robot collaboration. In Mohammad, A, Dong, X, Russo, M (ed) Towards Autonomous Robotic Systems (TAROS 2020); Towards Autonomous Robotic Systems: 21st Annual Conference, TAROS 2020, Nottingham, UK, September 16, 2020, Proceedings, Nottingham, United Kingdom (Virtual), pp.308-313, ISBN: 9783030634858. DOI: 10.1007/978-3-030-63486-5_33.

Ariansyah, D, Buerkle, A, Al-Yacoub, A, Zimmer, M, Erkoyuncu, JA, Lohse, N (2020) Towards a digital human representation in an industrial digital twin. In 9th International Conference on Through-life Engineering Services (TESConf 2020); Proceedings of the 9th International Conference on Through-life Engineering Services (TESConf 2020), Cranfield University, Online Edition. DOI: 10.2139/ssrn.3717733.

Al-Yacoub, A, Eaton, W, Zimmer, M, Buerkle, A, Ariansyah, D, Erkoyuncu, JA, Lohse, N (2020) Investigating the impact of human in-the-loop digital twin in an industrial maintenance context [Abstract]. In TESConf 2020 - 9th International Conference on Through-life Engineering Services; SSRN Journal, Online Edition. DOI: 10.2139/ssrn.3717797.

Al-Yacoub, A, Buerkle, A, Flanagan, M, Ferreira, P, Hubbard, E-M, Lohse, N (2020) Effective human-robot collaboration through wearable sensors. In IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020; 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vienna, Austria, pp.651-658, ISBN: 9781728189567. DOI: 10.1109/ETFA46521.2020.9212100.

Buerkle, A, Al-Yacoub, A, Ferreira, P (2020) An Incremental Learning Approach for Physical Human-Robot Collaboration. In UKRAS20 Conference: “Robots into the real world”, UKRAS20 Conference: “Robots into the real world” Proceedings, Lincoln, UK (virtual). DOI: 10.31256/it7lm1b.

Zimmer, M, Al-Yacoub, A, Ferreira, P, Lohse, N (2020) Understanding human decision-making during production ramp-up using natural language processing. In 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), Helsinki, Finland, pp.337-342, ISBN: 9781728129273. DOI: 10.1109/INDIN41052.2019.8972033.

Zimmer, M, Al-Yacoub, A, Ferreira, P, Lohse, N (2020) Towards human-chatbot interaction: a virtual assistant for the ramp-up process. In UKRAS20 Conference; UKRAS20 Conference: “Robots into the real world” Proceedings, University of Lincoln (virtual), pp.108-110, DOI: 10.31256/Qx5Dt5V.

Zimmer, M, Ferreira, P, Danny, P, Al-Yacoub, A, Lohse, N, Gentile, V (2019) Towards a decision-support framework for reducing ramp-up effort in plug-and-produce systems. In 2nd IEEE International Conference on Industrial Cyber Physical Systems (ICPS2019), Taipei, Taiwan, pp.478-483, ISBN: 9781538685006. DOI: 10.1109/ICPHYS.2019.8780369.

Zimmer, M, Al-Yacoub, A, Ferreira, P, Lohse, N (2019) Trajectory creation towards fast skill deployment in plug-and-produce assembly systems: A Gaussian-Mixture Model approach. In , Loughborough, pp.87-90.

Al-Yacoub, A, Lohse, N, Goh, Y, Usman, Z, Jackson, M (2016) Compensate undesired force and torque measurements using parametric regression methods [Abstract]. In euspen’s 16th International Conference & Exhibition, Nottingham, UK, pp.259-260.

Al-Yacoub, A, Sharifzadeh, S, Lohse, N, Usman, Z, Goh, Y, Jackson, M (2016) Learning industrial robot force/torque compensation: A comparison of support vector and random forests regression. In ISAR 2016 - The International Conference on Intelligent Systems and Robotics, Zurich, Zwitserland,ISBN: 9780889869868. DOI: 10.2316/P.2016.847-002.

Zhao, Y, Al-Yacoub, A, Goh, Y, Justham, L, Lohse, N, Jackson, M (2016) Human skill capture: A hidden Markov model of force and torque data in peg-in-a-hole assembly process. In SMC 2016 - IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary,ISBN: 9781509018970. DOI: 10.1109/SMC.2016.7844315.



Posters

Al-Yacoub, A, Usman, D, Lohse, D, Jackson, P (2015) Symbolic-based Recognition of Contact State during Peg-in-hole assembly, Advanced Manufacturing Conference (M5).



Thesis/Dissertation

Al-Yacoub, A (2019) Robotic learning of force-based industrial manipulation tasks.



Datasets

Al-Yacoub, A and Flanagan, M (2020) Human-Human co-manipulation data, DOI: 10.17028/rd.lboro.12942122.



Getting in touch

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Loughborough University
Loughborough
Leicestershire
LE11 3TU
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