| A reinforcement learning approach for MPPT control method of photovoltaic sources P Kofinas, S Doltsinis, AI Dounis, GA Vouros Renewable Energy 108, 461-473, 2017 | 101 | 2017 |
| 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 | 62 | 2014 |
| Symbiotic assembly systems–A new paradigm P Ferreira, S Doltsinis, N Lohse Procedia Cirp 17, 26-31, 2014 | 45 | 2014 |
| 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 | 44 | 2020 |
| 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 | 40 | 2013 |
| A machine learning framework for real-time identification of successful snap-fit assemblies S Doltsinis, M Krestenitis, Z Doulgeri IEEE Transactions on Automation Science and Engineering 17 (1), 513-523, 2019 | 31 | 2019 |
| Reinforcement learning for production ramp-up: A Q-batch learning approach S Doltsinis, P Ferreira, N Lohse 2012 11th international conference on machine learning and applications 1 …, 2012 | 29 | 2012 |
| Slippage detection generalizing to grasping of unknown objects using machine learning with novel features I Agriomallos, S Doltsinis, I Mitsioni, Z Doulgeri IEEE Robotics and Automation Letters 3 (2), 942-948, 2018 | 26 | 2018 |
| A symbiotic human–machine learning approach for production ramp-up S Doltsinis, P Ferreira, N Lohse IEEE Transactions on Human-Machine Systems 48 (3), 229-240, 2017 | 26 | 2017 |
| A performance evaluation of industrial agents P Ferreira, S Doltsinis, A Anagnostopoulos, F Pascoa, N Lohse IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society …, 2013 | 12 | 2013 |
| A fast robot deployment strategy for successful snap assembly Y Koveos, D Papageorgiou, S Doltsinis, Z Doulgeri 2016 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS …, 2016 | 7 | 2016 |
| A model-free reinforcement learning approach using Monte Carlo method for production Ramp-up policy improvement-A copy exactly test case SC Doltsinis, N Lohse IFAC Proceedings Volumes 45 (6), 1628-1634, 2012 | 7 | 2012 |
| A minimum invasive strategy to guarantee safety under unexpected unintentional human-robot contact Y Koveos, GA Rovithakis, I Agriomallos, S Doltsinis 2017 25th Mediterranean Conference on Control and Automation (MED), 334-339, 2017 | 3 | 2017 |
| Real-Time Event Detection in Time-Series Classification Based on Amplitude Rejection S Doltsinis, M Krestenitis, Z Doulgeri 2018 Innovations in Intelligent Systems and Applications (INISTA). IEEE, 2018 | 1 | 2018 |
| A decision support system for production ramp-up: a reinforcement learning approach S Doltsinis University of Nottingham, 2013 | | 2013 |
Niels LohseProfessor of Manufacturing Automation and Robotics, School of Mechanical, Electrical andVerified email at lboro.ac.uk
