Construction of Humanoid Robot and Generative Artificial Intelligence Information System Based on Deep Learning

Authors

  • Huijuan Sun School of Computer and Artificial Intelligence, Henan Finance University, Zhengzhou 451464, Henan, China
  • Jian Shen Henan Education Examinations Center for Test Development and Assessment, Zhengzhou 451464, Henan, China

Abstract

With the rapid development of DL technology, artificial intelligence (AI) and robotics are gradually merging, especially the combination of humanoid robots and generative AI, which is becoming a key technology to promote the intelligent transformation of future industries. However, in traditional research, humanoid robots and generative AI technologies are developed in isolation, lacking effective collaboration and natural interaction, and lacking innovation in cross-domain application. To address these problems, in this study, an information system is constructed based on DL humanoid robots and generative AI. The system consists of three modules: a perception, decision and action module, and generation and interaction modules.
The perception module collects and preprocesses data of multiple modalities and then fuses the multimodal data. The decision and action module achieves the decision-making function of the information system through the DQN model. The generation and interaction module introduces the Generative Pre-Trained Transformer (GPT) model to realize the generation and interaction functions of the information system. Experiments have shown that the image perception ability of the system constructed in this study is good. The average perception error of 100 areas in the experiment is 0.0361. The decision-making ability is strong, and the decision-making score for different scenarios exceeds 0.83. It can also maintain good consistency in the generated content while taking emotions into account during conversations. The robot equipped with the system proposed in this paper and the traditional robot were put into the service industry for comparative experiments. The results demonstrated that the robot equipped with the proposed system is superior to the traditional robot according to all scoring indicators. The information system of humanoid robots and generative AI based on DL constructed in this study breaks through the limitations of the isolated development of traditional humanoid robots and generative AI, through the strong integration of deep perception, decision-making and interaction. It significantly improves the intelligence level of robots, hasbroad application prospects, and provides new ideas and technical support for promoting industrial intelligent transformation and cross-domain application innovation.

Keywords: Deep learning, Humanoid robot, Generative Artificial Intelligence, Multimodal Perception, Deep Q network, Generative Pre-Trained transformer

Cite As

H. Sun, J. Shen, "Construction of Humanoid Robot and Generative Artificial Intelligence Information System Based on Deep Learning", Engineering Intelligent Systems, vol. 34 no. 3, pp. 331-340, 2026.

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Published

2026-05-01

Issue

Vol. 34 No. 3 (2026): International Journal of Engineering Intelligent Systems

Section

Article

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