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Titlebook: Advances in Service and Industrial Robotics; RAAD 2023 Tadej Petrič,Aleš Ude,Leon Žlajpah Conference proceedings 2023 The Editor(s) (if app

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2211-0984 s a source of information and inspiration for researchers seeking to improve their work and gather new ideas for future developments.978-3-031-32608-0978-3-031-32606-6Series ISSN 2211-0984 Series E-ISSN 2211-0992
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Explainable Object Detection in the Field of Search and Rescue Roboticsvel dataset is composed, including 2447 images, nine handwheel types, and 6696 annotations. Five CNN object detectors (R-CNN, Faster R-CNN, RetinaNet, YOLOv5s, and SSD) are compared based on mAP. and mAP.. Two CNN object detectors’ classification strategies were investigated with the SpRAy method. C
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Deep Learning Prediction Models for the Detection of Cyber-Attacks on Image Sequencesplored the application of several deep learning architectures based on two-dimensional Convolutional Neural Networks and Convolutional Long Short-Term Memory Recurrent Neural Networks. Images obtained from the real-world experimental installation were utilized for model design. Our deep learning mod
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A Multi-feature Augmented Reality-Based Robot Control that the safety aspect should always be taken into account when moving the robot, the virtual model of the robot is also superimposed on the working environment so that the operator can perform a preview maneuver indicating the current and final position of each joint, before the motion is executed
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