| 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 | 84 | 2023 |
| 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 | 66 | 2021 |
| An adaptive human sensor framework for human–robot collaboration A Buerkle, H Matharu, A Al-Yacoub, N Lohse, T Bamber, P Ferreira The International Journal of Advanced Manufacturing Technology, 1-16, 2022 | 41 | 2022 |
| Effective human-robot collaboration through wearable sensors A Al-Yacoub, A Buerkle, M Flanagan, P Ferreira, EM Hubbard, N Lohse Loughborough University, 2020 | 21 | 2020 |
| Human skill capture: A hidden Markov model of force and torque data in peg-in-a-hole assembly process YC Zhao, A Al-Yacoub, YM Goh, L Justham, N Lohse, MR Jackson 2016 IEEE international conference on systems, man, and cybernetics (SMC …, 2016 | 20 | 2016 |
| Towards a decision-support framework for reducing ramp-up effort in plug-and-produce systems M Zimmer, P Ferreira, P Danny, A Al-Yacoub, N Lohse, V Gentile 2019 IEEE International Conference on Industrial Cyber Physical Systems …, 2019 | 15 | 2019 |
| Understanding human decision-making during production ramp-up using natural language processing M Zimmer, A Al-Yacoub, P Ferreira, N Lohse 2019 IEEE 17th International conference on industrial informatics (INDIN) 1 …, 2019 | 12 | 2019 |
| Towards human-chatbot interaction: a virtual assistant for the ramp-up process M Zimmer, A Al-Yacoub, P Ferreira, N Lohse The 25th IEEE International Conference on Emerging Technologies and Factory …, 2020 | 11 | 2020 |
| Symbolic-based recognition of contact states for learning assembly skills A Al-Yacoub, Y Zhao, N Lohse, M Goh, P Kinnell, P Ferreira, EM Hubbard Frontiers in Robotics and AI 6, 99, 2019 | 11 | 2019 |
| An incremental learning approach for physical human-robot collaboration A Buerkle, A Al-Yacoub, P Ferreira Towards Autonomous Robotic Systems: 21st Annual Conference, TAROS 2020 …, 2020 | 8 | 2020 |
| Online Identification of Payload Inertial Parameters Using Ensemble Learning for Collaborative Robots W Taie, K ElGeneidy, ALY Ali, S Ronglei IEEE Robotics and Automation Letters, 2023 | 7 | 2023 |
| Towards a Digital Human Representation in an Industrial Digital Twin D Ariansyah, A Buerkle, A Al-Yacoub, M Zimmer, JA Erkoyuncu, N Lohse Available at SSRN 3717733, 2020 | 6 | 2020 |
| Towards an automated masking process: A model-based approach K Elgeneidy, A Al-Yacoub, Z Usman, N Lohse, M Jackson, I Wright Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2019 | 6 | 2019 |
| An Incremental Learning Approach to Detect Muscular Fatigue in Human–Robot Collaboration A Buerkle, A Al-Yacoub, W Eaton, M Zimmer, T Bamber, P Ferreira, ... IEEE Transactions on Human-Machine Systems 53 (3), 520-528, 2023 | 5 | 2023 |
| Experimental study to investigate mental workload of local vs remote operator in human-machine interaction M Zimmer, A Al-Yacoub, P Ferreira, EM Hubbard, N Lohse Production & Manufacturing Research 10 (1), 410-427, 2022 | 5 | 2022 |
| Investigating the Impact of Human in-the-Loop Digital Twin in an Industrial Maintenance Context A Al-Yacoub, W Eaton, M Zimmer, A Buerkle, D Ariansyah, JA Erkoyuncu, ... 9th International Conference on Through-life Engineering Services (TESConf 2020), 2020 | 5 | 2020 |
| Mental workload of local vs remote operator in human-machine interaction case study M Zimmer, A Al-Yacoub, P Ferreira, EM Hubbard, N Lohse 18th International Conference in Manufacturing Research (ICMR 2021), 2021 | 4 | 2021 |
| Data-driven modelling of human-human co-manipulation using force and muscle surface electromyogram activities A Al-Yacoub, M Flanagan, A Buerkle, T Bamber, P Ferreira, EM Hubbard, ... Electronics 10 (13), 1509, 2021 | 3 | 2021 |
| Learning industrial robot force/torque compensation: A comparison of support vector and random forests regression A Al-Yacoub, S Sharifzadeh, N Lohse, Z Usman, YM Goh, MR Jackson International Conference on Intelligent Systems and Robotics (ISAR 2016 …, 2016 | 3 | 2016 |
| Payload parameters identification using incremental ensemble learning W Taie, K ElGeneidy, ALY Ali, S Ronglei 2024 4th International Conference on Computer, Control and Robotics (ICCCR …, 2024 | 1 | 2024 |
Niels LohseProfessor of Manufacturing Automation and Robotics, University of BirminghamBestätigte E-Mail-Adresse bei bham.ac.uk