智能科学与技术学报 ›› 2021, Vol. 3 ›› Issue (2): 187-194.doi: 10.11959/j.issn.2096-6652.202119

• 专题:工业智联网 • 上一篇    下一篇

面向防疫的智能导诊机器人关键技术及应用

王腾1, 潘晶2, 董璐3, 孙长银1   

  1. 1 东南大学自动化学院,江苏 南京210018
    2 上海钛米机器人股份有限公司,上海201203
    3 同济大学电子与信息工程学院,上海201804
  • 修回日期:2020-11-16 出版日期:2021-06-01 发布日期:2021-06-01
  • 作者简介:王腾(1988- ),女,博士,东南大学自动化学院讲师,主要研究方向为机器人环境感知与视觉导航
    潘晶(1980- ),男,上海钛米机器人股份有限公司董事长兼 CEO,主要研究方向为智能医疗服务机器人设计与制造
    董璐(1990- ),女,博士,同济大学电子与信息工程学院副研究员,主要研究方向为机器人智能控制
    孙长银(1975- ),男,博士,东南大学自动化学院教授、博士生导师,主要研究方向为机器人环境感知与智能控制
  • 基金资助:
    国家自然科学基金资助项目(61803084);国家自然科学基金资助项目(62041301)

Key technologies and applications of intelligent guiding robots for epidemic prevention

Teng WANG1, Jing PAN2, Lu DONG3, Changyin SUN1   

  1. 1 School of Automation, Southeast University, Nanjing 210018, China
    2 Taimi Robotics Technology Co., Ltd., Shanghai 201203, China
    3 School of Electronical and Information Engineering, Tongji University, Shanghai 201804, China
  • Revised:2020-11-16 Online:2021-06-01 Published:2021-06-01
  • Supported by:
    The National Natural Science Foundation of China(61803084);The National Natural Science Foundation of China(62041301)

摘要:

疫情防控期间,智能机器人在医疗、巡检和配送等领域走上防疫一线,成为抗疫战斗中一股极为重要的力量,使得更多的人意识到智能机器人在解决公共卫生安全问题中的重要性。重点关注面向防疫的智能导诊机器人,首先探讨智能导诊机器人的关键技术及其研究现状,包括机器人消毒、人脸识别、语音交互、自主定位、路径规划等;然后以钛米智能导诊机器人为应用案例,阐述上述关键技术在实际应用中的落脚点;最后对智能导诊机器人的发展趋势做出展望。

关键词: 机器人消毒, 人脸识别, 语音交互, 自主定位, 路径规划

Abstract:

During the period of epidemic prevention, intelligent robots play a significant role in the fields of medical treatment, inspection and distribution, making more people realize the importance of robots in solving public health and safety problems.Focusing on the intelligent guiding robots, the key technologies and research status of the intelligent guiding robots were discussed, including robot disinfection, face recognition, speech interaction, autonomous localization, path planning.Then, taking TMiRob intelligent guiding robot as an example to discuss how these key technologies were implemented in reality.Finally, the challenges and development trends of intelligent guiding robots were presented.

Key words: robot disinfection, face recognition, speech interaction, autonomous localization, path planning

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