... visual inspection theory and application. Corresponding author Ge Ma m_ge@gzhu.edu.cn 04 07 2025 19 08 2025 28 10 2025 03 11 2025 © 2026 Emerald Publishing Limited 2026 Emerald Publishing Limited Licensed re-use rights only Deep learning Defect detection...

... path, sensory data from sensors such as a camera is used for gathering information about the surroundings at each instance of time, which is then processed using computer vision and deep learning techniques, such as CNNs, to extract meaningful information (potholes and obstacles) for decision-making...

...-making. In addition, a MobileNet-based deep learning (DL) model is proposed for quality inspection of injection parts, fine-tuned using the TL approach. Findings Using the TL approach, the MobileNet-based DL model demonstrates exceptional performance, achieving validation accuracy of 99.1...

... applications. Ömer Türkmen can be contacted at: turkmen3508@gmail.com 17 03 2023 15 05 2023 30 07 2023 16 08 2023 18 08 2023 © Emerald Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only AI Drone Solar panel detection Deep learning...

... and location information. Inversely, the later algorithm is based on semantic segmentation neural network. In this paper, a binocular eye-in-hand visual equipment on the end effector is adopted. The deep learning algorithms reinforce the robustness of the visual system, endowing the system a capability...

...Zhengtuo Wang; Yuetong Xu; Guanhua Xu; Jianzhong Fu; Jiongyan Yu; Tianyi Gu Purpose In this work, the authors aim to provide a set of convenient methods for generating training data, and then develop a deep learning method based on point clouds to estimate the pose of target for robot grasping...

... performance (88.47% accuracy and lowest computational time) than other methods. Originality/value This study can provide theoretical and engineering guidance for hand pose recognition in surgery robot teleoperation and design a new deep learning model for accuracy enhancement. Though the MCI system has...

...@szarobots.com 01 07 2019 05 11 2019 11 12 2019 20 04 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Deep learning 3D Long-term recurrent convolutional networks Human sub-assembly recognition Human-robot collaboration...

... been proposed for better handling segmentation of 6 D point cloud. By introducing normal vectors, semantic segmentation could be accomplished precisely for close points with opposite normal, such as wing upper and lower surfaces. Combining deep learning skills with traditional methods, the proposed...

...Yupei Wu; Di Guo; Huaping Liu; Yao Huang Purpose Automatic defect detection is a fundamental and vital topic in the research field of industrial intelligence. In this work, the authors develop a more flexible deep learning method for the industrial defect detection. Design/methodology/approach...

... environment than the conventional method. Originality/value A new method of deep learning based biomimetic robot path planning is proposed. The authors designed a multi-layer CNN which includes max-pooling layer and convolutional kernel. Then, the first and second layers features can be extracted...