Design and Implementation of Service Robots for Special Groups Based on a Multimodal Interaction System

DOI: https://doi.org/10.62517/jike.202504315

Author(s)

Lan Li, Fabin Yang, Zhuanhong Qi, Jiaxue Kang, Yingying Ma, Jundi Wang*

Affiliation(s)

School of Computer and Artificial Intelligence, Lanzhou Institute of Technology, Lanzhou, Gansu, China *Corresponding Author

Abstract

With the high-density coverage of China’s railway network and improved operational efficiency, high-speed rail (HSR) has become a core travel choice for citizens, and the elderly’s demand for this convenient transport is rising markedly. However, traditional HSR services, relying on manual support, have not able shortcomings in coverage, response efficiency and adaptability to special groups—failing to meet their needs for information access, easy operation and fast travel, while also having unreasonable traditional meal distribution. Against this backdrop, the "Zhixiang Lvtu Jingling" (Intelligent Travel Elf) HSR service robot, a fully automatic smart device for HSR scenarios, is key. Centered on a "multimodal interaction system," it integrates voice, vision, touch and payment interactions to build a full-process service loop of perception, integration, decision-making and execution. It addresses travel pain points of special groups (the elderly, visually impaired, etc.) and optimizes efficiency in meal distribution and pet supervision. Its design, focused on elderly-friendly principles rather than simply replacing labor, unifies service universality and precision. In short, the system, linked by elderly-friendly design, boosts HSR service efficiency and breaks demographic/scenario barriers of traditional services. This concept provides a practical solution for smart HSR services and a reference for elderly-friendly upgrades in airports, subways and nursing homes, aiding an inclusive elderly social service system.

Keywords

Multimodal Interaction; Artificial Intelligence Robot; Speech Recognition; Diverse Interaction

References

[1]Zhonghua Wang, Liwei Cai, Xiongqing Li, et al. Bridging the Digital Divide: Current Situation Assessment and Optimization Strategies for Information Accessibility of Airlines' Retail Websites. Journal of Civil Aviation, 2024(5): 20-23. [2]Xiaoyan Wang, Xiandong Chen. 3D Model Visualization Based on Cesium. Geospatial Information, 2022, 20(1): 4-12. [3]Hongmeng Zhang. Design of an Intelligent Inspection Robot. China Machinery, 2024, (8): 40-43. [4] Yuanshao Hou. Research on SLAM Technology of Inspection Robots with Multi-Source Information Fusion Based on Deep Learning. Information Technology and Informatization, 2023(8): 217-220. [5]Li Wei. Intelligent Elderly Care Leads the Future. China Venture Capital, 2015, 000(027): 34-39. [6]Lei Chen. Design of Elderly-Friendly Apps in the Context of Digital Media. Wireless Internet Technology, 2023, 20(16): 57-61. [7]Yang Xi. Elderly Care in the Digital Age: Application of AIGC Technology in Elderly-Friendly Design. Shanghai Packaging, 2025(04): 56-58. [8]Xueqin Xiang, Zhigeng Pan, Jing Tong. Application Research of Depth Cameras in Computer Vision and Computer Graphics. Journal of Frontiers of Computer Science and Technology, 2011, 5(6): 481-492. [9] Wenling Xia, Zhaopeng Gu, Tangsheng Yang. Implementation of Real-Time 3D Reconstruction Algorithm—3D Reconstruction Based on Kinect and Monocular Visual SLAM. Computer Engineering and Applications, 2014, 50(24): 199-203. [10]Chengwei Huang, Yan Zhao, Yun Jin, et al. Research on Feature Analysis and Recognition of Practical Speech Emotions. Journal of Electronics & Information Technology, 2011, 33(1): 112-116. [11]Zhiyu Sun, Wei Liu. Research on the Design of Intelligent Products for Pet Travel. Art Science and Technology, 2019, 32(5): 215-216.