Showing 2,221 - 2,240 results of 2,923 for search '"robotics"', query time: 0.06s Refine Results
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    Scaling up computational thinking skills in computer-assisted language learning (CTsCALL) and its fitness with language learners’ intentions to use virtual exchange: A bi-symmetric... by Amir Reza Rahimi, Ana Sevilla-Pavón

    Published 2025-03-01
    “…In this regard, pedagogical experts in Science, Technology, Engineering, and Mathematics (STEM) have developed programming and robotics based on Computational Thinking skills (CTs), which have been regarded as the core of 21st-century skills. …”
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    EventSegNet: Direct Sparse Semantic Segmentation from Event Data by Pengju Li, Yuqiang Fang, Jiayu Qiu, Jun He, Jishun Li, Qinyu Zhu, Xia Wang, Yasheng Zhang

    Published 2024-12-01
    “…Semantic segmentation tasks encompass various applications, such as autonomous driving, medical imaging, and robotics. Achieving accurate semantic information retrieval under conditions of high dynamic range and rapid scene changes remains a significant challenge for image-based algorithms. …”
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    Leveraging Thermal Infrared Imaging for Pig Ear Detection Research: The TIRPigEar Dataset and Performances of Deep Learning Models by Weihong Ma, Xingmeng Wang, Simon X. Yang, Lepeng Song, Qifeng Li

    Published 2024-12-01
    “…The TIRPigEar dataset was obtained through a pig house inspection robot equipped with an infrared thermal imaging device, with post-processing conducted via manual annotation. …”
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    Impedance Controller Analysis for a Two-Degrees-Of-Freedom Ankle Rehabilitation Machine with Serious Game Interactions by Oscar I. Cirilo-Piñon, Agustín Barrera-Sánchez, Cesar H. Guzmán-Valdivia, Manuel Adam-Medina, Rafael Campos-Amezcua, Andrés Blanco-Ortega, Arturo Martínez-Mata

    Published 2024-12-01
    “…Thanks to technological advances, robotics has allowed for the development of machines that generate precise, efficient, and safe movements. …”
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    Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

    Published 2025-01-01
    “…In recent years, significant strides in deep learning have propelled the advancement of electromyography (EMG)-based upper-limb gesture recognition systems, yielding notable successes across a spectrum of domains, including rehabilitation, orthopedics, robotics, and human-computer interaction. Despite these achievements, prevailing methodologies often overlook the intrinsic physical configurations and interconnectivity of multi-channel sensory inputs, resulting in a failure to adequately capture relational information embedded within the connections of deployed EMG sensor network topology. …”
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    Three-Dimensional Printable Magnetic Hydrogels with Adjustable Stiffness and Adhesion for Magnetic Actuation and Magnetic Hyperthermia Applications by Xueting Xuan, Yi Li, Xing Xu, Zhouyi Pan, Yu Li, Yonghao Luo, Li Sun

    Published 2025-01-01
    “…Stimuli-responsive hydrogels hold immense promise for biomedical applications, but conventional gelation processes often struggle to achieve the precision and complexity required for advanced functionalities such as soft robotics, targeted drug delivery, and tissue engineering. …”
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    Recognition and Classification of 3D Objects of Different Details by Islam A. Alexandrov, Maxim S. Mikhailov, Alexander N. Muranov, Vladimir Zh. Kuklin

    Published 2024-06-01
    “…Effectiveness of the proposed method in this study enhance existing recognition systems and open new opportunities for their application in various fields, including robotics, agriculture, and navigation. This research demonstrates considerable potential for further development and application in the field of agriculture, underscoring the continued necessity for research in this area …”
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    Facial expression recognition through muscle synergies and estimation of facial keypoint displacements through a skin-musculoskeletal model using facial sEMG signals by Lun Shu, Victor R. Barradas, Zixuan Qin, Yasuharu Koike

    Published 2025-02-01
    “…The development of facial expression recognition (FER) and facial expression generation (FEG) systems is essential to enhance human-robot interactions (HRI). The facial action coding system is widely used in FER and FEG tasks, as it offers a framework to relate the action of facial muscles and the resulting facial motions to the execution of facial expressions. …”
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