Enabling Robot Selective Trained Deep Neural Networks for Object Detection Through Intelligent Infrastructure. - Christian Poss; Thomas Irrenhauser; Marco Prueglmeier; Daniel Goehring; Firas Zoghlami; Vahid Salehi; Olimjon Ibragimov (CACRE, 2019)

Perceptionbased Intelligent Materialhandling in Industrial Logistics Environments. - Christian Poss; Thomas Irrenhauser; Marco Prueglmeier; Daniel Goehring; Firas Zoghlami; Vahid Salehi (ICCAE, 2019)

Robust Framework for intelligent Gripping Point Detection. - Christian Poss; Ons Ben Mlouka; Thomas Irrenhauser; Marco Prueglmeier; Daniel Goehring; Firas Zoghlami; Vahid Salehi (IECON, 2019)

Reinforcement Learning Lifecycle for the Design of Advanced Robotic Systems. - Philip Kurrek; Firas Zoghlami; Mark Jocas; Martin F. Stoelen; Vahid Salehi (ICPS, 2020)

Unsupervised Pose Anomaly Detection for Dynamic Robotic Environments. - Firas Zoghlami; Philip Kurrek; Mark Jocas; Giovanni Luca Masala; Vahid Salehi (ICPS, 2020)

Q-Model: An Artificial Intelligence Based Methodology for the Development of Autonomous Robots. - Philip Kurrek; Firas Zoghlami; Mark Jocas; Martin F. Stoelen; Vahid Salehi (J. Comput. Inf. Sci. Eng., 2020)

Design of a Deep Post Gripping Perception Framework for Industrial Robots. - Firas Zoghlami; Philip Kurrek; Mark Jocas; Giovanni Luca Masala; Vahid Salehi (J. Comput. Inf. Sci. Eng., 2021)

Task Independent Safety Assessment for Reinforcement Learning. - Mark Jocas; Firas Zoghlami; Philip Kurrek; Mario Gianni; Vahid Salehi (TAROS, 2022)

ViGLAD: Vision Graph Neural Networks for Logical Anomaly Detection. - Firas Zoghlami; Dena Bazazian; Giovanni Luca Masala; Mario Gianni; Asiya Khan (IEEE Access, 2024)