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As socialism with Chinese characteristics enters a new age, thought-politics education has also entered a new phase of development. Facing new opportunities and challenges, attaching importance to quality, pursuing quality, and improving quality have become the key directions for the development of thought-politics education. In the paper, a CNN-Bi...
![Fig. 3. The approach to adaptive learning path recommendation [36].](profile/Hunkoog-Jho/publication/347414679/figure/fig1/AS:1001149951926272@1615704157767/The-approach-to-adaptive-learning-path-recommendation-36_Q320.jpg)
![Fig. 4. (Color online) An example for adaptive learning process [38].](profile/Hunkoog-Jho/publication/347414679/figure/fig2/AS:1001149956124673@1615704158947/Color-online-An-example-for-adaptive-learning-process-38_Q320.jpg)
![Fig. 5. (Color online) Traditional NLP components stack [42].](profile/Hunkoog-Jho/publication/347414679/figure/fig3/AS:1001149960318976@1615704159456/Color-online-Traditional-NLP-components-stack-42_Q320.jpg)
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... Robot có ảnh hưởng đến lĩnh vực giáo, thay đổi cách giảng dạy và học tập [1], [2]. Trong môi trường giáo dục, robot đã được sử dụng một cách hiệu quả nhằm gia tăng khả năng hỗ trợ trong quá trình giảng dạy và học tập [3], [4], [5], [6], [7]. Robot có khả năng hiểu và phản hồi dựa trên ngôn ngữ tự nhiên [8], [9], [10], [11], [12] hoặc có thể đươc hỗ trợ thông qua việc tích hợp các mô hình ngôn ngữ lớn như ChatGPT, BingChat, hay Google Bard trong việc trả lời các câu hỏi của học sinh hoặc giáo viên [13], [14], [15], [16], [17]. ...
Bài viết xem xét vai trò của robot hỗ trợ trong giáo dục tại Việt Nam. Sự phát triển của khoa học và công nghệ đã mang lại những cơ hội mới để tối ưu hóa quá trình giảng dạy và học tập. Chúng tôi thảo luận về vai trò của robot hỗ trợ, kết quả của công nghệ tự động hóa và trí tuệ nhân tạo, về khả năng tương tác, ứng dụng trong giảng dạy và học tập, ảnh hưởng tới học sinh và giáo viên, cũng như những thách thức và triển vọng trong việc sử dụng chúng trong ngữ cảnh giáo dục tại Việt Nam
... Social actions included having the robot face towards the person who was talking [72,104,252,349], to detect the active speaker in a group of people using facial recognition and audio [72], to commence a conversation when a person is detected [349], to identify when the person had finished talking [50,203], to perform face detection and gestures during a conversation with a person [104], to wave when a waving gesture was detected [154], and to recognise engagement levels through facial expression and gaze detection [69,379,411] from head movements such as nodding or shaking [379]. Other actions related to social interaction included classifying facial expressions [219,253], gender and person identification [91], as well as age and gender estimation using facial cues [72]. ...
... Social actions included having the robot face towards the person who was talking [72,104,252,349], to detect the active speaker in a group of people using facial recognition and audio [72], to commence a conversation when a person is detected [349], to identify when the person had finished talking [50,203], to perform face detection and gestures during a conversation with a person [104], to wave when a waving gesture was detected [154], and to recognise engagement levels through facial expression and gaze detection [69,379,411] from head movements such as nodding or shaking [379]. Other actions related to social interaction included classifying facial expressions [219,253], gender and person identification [91], as well as age and gender estimation using facial cues [72]. ...
Robotic vision for human-robot interaction and collaboration is a critical process for robots to collect and interpret detailed information related to human actions, goals, and preferences, enabling robots to provide more useful services to people. This survey and systematic review presents a comprehensive analysis on robotic vision in human-robot interaction and collaboration over the last 10 years. From a detailed search of 3850 articles, systematic extraction and evaluation was used to identify and explore 310 papers in depth. These papers described robots with some level of autonomy using robotic vision for locomotion, manipulation and/or visual communication to collaborate or interact with people. This paper provides an in-depth analysis of current trends, common domains, methods and procedures, technical processes, data sets and models, experimental testing, sample populations, performance metrics and future challenges. This manuscript found that robotic vision was often used in action and gesture recognition, robot movement in human spaces, object handover and collaborative actions, social communication and learning from demonstration. Few high-impact and novel techniques from the computer vision field had been translated into human-robot interaction and collaboration. Overall, notable advancements have been made on how to develop and deploy robots to assist people.
... at the same time creating a new language processing system based on advanced language models. This study presents the interactive system of the robot head that allows them to understand and communicate with humans through both speech [5] and facial expressions in reality [6]. In this paper, a robotic head is used to evaluate the interactive functions with users. ...
Robotic vision for human-robot interaction and collaboration is a critical process for robots to collect and interpret detailed information related to human actions, goals, and preferences, enabling robots to provide more useful services to people. This survey and systematic review presents a comprehensive analysis on robotic vision in human-robot interaction and collaboration over the last 10 years. From a detailed search of 3850 articles, systematic extraction and evaluation was used to identify and explore 310 papers in depth. These papers described robots with some level of autonomy using robotic vision for locomotion, manipulation and/or visual communication to collaborate or interact with people. This paper provides an in-depth analysis of current trends, common domains, methods and procedures, technical processes, data sets and models, experimental testing, sample populations, performance metrics and future challenges. This manuscript found that robotic vision was often used in action and gesture recognition, robot movement in human spaces, object handover and collaborative actions, social communication and learning from demonstration. Few high-impact and novel techniques from the computer vision field had been translated into human-robot interaction and collaboration. Overall, notable advancements have been made on how to develop and deploy robots to assist people.
