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Deep Learning for Deflectometric Inspection of Specular Surfaces., , , and . SOCO-CISIS-ICEUTE, volume 771 of Advances in Intelligent Systems and Computing, page 280-289. Springer, (2018)Semi-automatic quality inspection of solar cell based on Convolutional Neural Networks., , , , , , and . ETFA, page 529-535. IEEE, (2019)skrl: Modular and Flexible Library for Reinforcement Learning., , , and . J. Mach. Learn. Res., (2023)Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation., , , and . SII, page 943-948. IEEE, (2020)A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots., , , , and . SII, page 1-5. IEEE, (2023)Visual Odometry in Challenging Environments: An Urban Underground Railway Scenario Case., , , and . IEEE Access, (2022)Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach., , , and . J. Electronic Imaging, 29 (4): 041007 (2020)skrl: Modular and Flexible Library for Reinforcement Learning., , , and . CoRR, (2022)Fear Field: Adaptive constraints for safe environment transitions in Shielded Reinforcement Learning., , , , and . AISafety/SafeRL@IJCAI, volume 3505 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Shielded Reinforcement Learning: A review of reactive methods for safe learning., , and . SII, page 1-8. IEEE, (2023)