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Research on the application of humanoid robots
- 1 Changchun University of Technology
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Abstract
This paper provides a comprehensive review of the state-of-the-art in humanoid robotics, discussing the latest advancements, challenges,and potential future trends in the field. Through an analysis of relevant literature, this paper highlights the importance of humanoid robots in various applications, including service, entertainment, and industrial sectors. Furthermore, this paper also identifies the main research questions and technical challenges that need to be addressed to enable the full potential of humanoid robots to be realized. The research on humanoid robots originated from the simulation of human behavior and morphology. The original intention of this simulation is to improve the adaptability, efficiency, and safety of robots in specific environments. For example, in a home environment, humanoid robots can mimic human actions and behaviors, completing tasks such as household chores, taking care of the elderly and children. On industrial production lines, humanoid robots can mimic the actions of workers and complete complex tasks such as assembly and handling. In addition, research on humanoid robots also involves multiple fields such as human-computer interaction, artificial intelligence, computer vision, etc., providing strong technical support for the application of robots in various environments.
Keywords
humanoid robotics, human form and behavior, interact with humans, development of artificial intelligence, unique capabilities
[1]. Spro.so (2024) http://spro.so.com/searchthrow/api/midpage/throw?ls=s112c46189d&lm_extend=ctype:3&ctype=3&q=%E6%95%99%E8%82%B2%E6%9C%BA%E5%99%A8%E4%BA%BA&rurl=http%3A%2F%2Fb2b.huangye88.com%2Fqiye2503056%2F&img=http%3A%2F%2Foss.huangye88.net%2Flive%2Fuser%2F2503056%2F1513407535061043000-0.jpg&key=t04396d3897e51ce489.jpg&s=1710485123142
[2]. Cohen, L., Khoramshahi, M., Salesse, R. N., Bortolon, C., Słowiński, P., Zhai, C., ... & Raffard, S. (2017). Influence of facial feedback during a cooperative human-robot task in schizophrenia. Scientific reports, 7(1), 15023.
[3]. Betriana, F., Tanioka, R., Yokotani, T., Matsumoto, K., Zhao, Y., Osaka, K., ... & Tanioka, T. (2022). Characteristics of interactive communication between Pepper robot, patients with schizophrenia, and healthy persons. Belitung Nursing Journal, 8(2), 176-184.
[4]. Liu, H., Tang, E., Guan, C., Li, J., Zheng, J., Zhou, D., ... & Chen, H. (2024). Not socially blind: Unimpaired perception of social interaction in schizophrenia. Schizophrenia research, 264, 448-450.
[5]. Sato, M., Yasuhara, Y., Osaka, K., Ito, H., Dino, M. J. S., Ong, I. L., ... & Tanioka, T. (2020). Rehabilitation care with Pepper humanoid robot: A qualitative case study of older patients with schizophrenia and/or dementia in Japan. Enfermeria clinica, 30, 32-36.
[6]. Hardoy, M. C., Carta, M. G., Catena, M., Hardoy, M. J., Cadeddu, M., Dell'Osso, L., ... & Carpiniello, B. (2004). Impairment in visual and spatial perception in schizophrenia and delusional disorder. Psychiatry research, 127(1-2), 163-166.
[7]. Kim, K., Kim, J. J., Kim, J., Park, D. E., Jang, H. J., Ku, J., ... & Kim, S. I. (2006). Characteristics of social perception assessed in schizophrenia using virtual reality. Cyberpsychology & behavior, 10(2), 215-219.
[8]. Franek, M., Vaculin, S., Yamamotova, A., Stastný, F., Bubenikova-Valesova, V., & Rokyta, R. (2010). Pain perception in neurodevelopmental animal models of schizophrenia. Physiological Research, 59(5), 811.
Cite this article
Zhao,X. (2024). Research on the application of humanoid robots. Applied and Computational Engineering,75,54-57.
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Volume title: Proceedings of the 2nd International Conference on Software Engineering and Machine Learning
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