Research on system integration architecture of industrial robot design platform

Yuanjin Kou; Yilong Liu; Baolian Tian

doi:10.1117/12.2659327

30 November 2022 Research on system integration architecture of industrial robot design platform

Yuanjin Kou, Yilong Liu, Baolian Tian

Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 124560V (2022) https://doi.org/10.1117/12.2659327
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China

Abstract

With the development and progress of the times, China’s scientific and technological strength has gradually improved. The communication between robots and humans is getting closer and closer, and humans have endowed robots with emotions and actions through repeated research and experiments. The research of robots has also attracted the attention of many experts and scholars in the fields of psychology and computer science. These scholars and experts combine computer science with psychological science and cognitive science to try to create a human-computer interaction environment with emotional feedback. Efforts to achieve harmonious and natural human-computer interaction. The research content of this paper is guided by artificial psychology theory and affective computing, and the technology of constructing service robot interaction platform is studied in detail. The following issues related to service robots are analyzed and discussed: control architecture, emotion expression, emotion modeling, robotic application systems, etc. It also lays a solid theoretical foundation for the establishment of a harmonious man-machine.

Citation Download Citation

Yuanjin Kou, Yilong Liu, and Baolian Tian "Research on system integration architecture of industrial robot design platform", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 124560V (30 November 2022); https://doi.org/10.1117/12.2659327

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