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我国矿山智能机器人发展与研究概况及典型应用场景分析.

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Title: 我国矿山智能机器人发展与研究概况及典型应用场景分析.
Alternate Title: Overview of development and research on intelligent mining robots in China and analysis of typical application scenarios.
Authors: 杨 磊1 29164753@qq.com, 戴守晨2, 鲍久圣2 cumtbjs@cumt.edu.cn, 胡而已3, 阴 妍2, 王 雷2, 王茂森2, 张可琨2
Source: Coal Science & Technology (0253-2336). Feb2026, Vol. 54 Issue 2, p79-101. 23p.
Subject Terms: *Safety, *Mining methodology, *Economic efficiency, *University research, *Technological innovations
Geographic Terms: China
Abstract (English): The popularization of the concept of intelligent development in mines and the demand for intelligent construction have driven research in the field of intelligent mining robots in China. intelligent mining robots have demonstrated significant advantages in enhancing production efficiency, reducing manual labor burdens, and mitigating safety risks. To conduct a detailed analysis of the development, research, and application status of intelligent mining robots in China, first, the background of China’s mining robot development in recent years is outlined. The current status of literature research, patent applications, and talent cultivation in China’s mine robot field are summarized and analyzed. Based on this, the reasons for the uneven development in research directions and content within mine robotics are further explored. Second, the typical application scenarios for each of the seven categories of intelligent mining robots covered in the Key Research and Development Catalog of Intelligent Mining Robots, respectively, intelligent tunneling robots, intelligent mining robots, intelligent transportation robots, intelligent mineral processing robots, intelligent auxiliary operation robots, intelligent safety monitoring robots, and intelligent rescue robots, are elaborated upon. Some mining robot application scenarios listed in the Public List of Typical Application Scenarios for Mining Robots and those with proven effectiveness are analyzed respectively to validate the practical outcomes of various intelligent mining robots in replacing manual labor for hazardous and strenuous tasks while enhancing production efficiency and safety. Finally, the common issues and subsequent development trends of intelligent mining robots in China are discussed and prospected. Given the complex and variable mining environment, while China’s intelligent mining robots have achieved notable progress in general-purpose key technologies and application promotion, numerous challenges remain before achieving fully autonomous and unmanned operations. For a considerable period to come, intelligent mining robots in China will remain in a developmental stage. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 矿山智能化发展理念的普及和智能化建设的需求推动了我国矿山智能机器人领域的研究, 矿 山智能机器人在提高生产效率、降低人工作业劳动负担和安全风险等方面表现出了突出优势。为详 细分析我国矿山智能机器人的发展研究及应用现状, 首先, 对近年来我国矿山智能机器人的发展背 景进行阐述, 对当前我国矿山智能机器人领域的相关文献研究、专利申报和人才培养方面的发展现 状进行总结分析, 在此基础上进一步对矿山智能机器人研究方向和研究内容存在发展不均衡现象的 原因进行探究; 其次, 针对《矿山智能机器人重点研发目录》所涵盖的掘进智能机器人、采矿智能 机器人、运输智能机器人、选矿智能机器人、辅助作业智能机器人、安控智能机器人和救援智能机 器人共 7 类矿山智能机器人典型应用场景分别进行阐述, 以《矿山领域机器人典型应用场景名单》 中部分矿山智能机器人应用场景和已取得显著应用成效的矿山智能机器人应用场景进行分析, 论述 各类矿山智能机器人在替代人工进行危险繁重作业、提升生产效率与安全性方面的实际成效; 最后, 对我国矿山智能机器人存在的共性问题和后续发展趋势进行探讨和展望。由于矿山环境复杂多变, 目前我国矿山智能机器人在共性关键技术和应用推广方面虽取得了显著成效, 但距实现完全自主和 无人化作业仍面临着众多挑战, 在后续相当一段时间内, 我国矿山智能机器人将始终处于发展阶段。 [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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  Data: 我国矿山智能机器人发展与研究概况及典型应用场景分析.
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  Data: <searchLink fieldCode="JN" term="%22Coal+Science+%26+Technology+%280253-2336%29%22">Coal Science & Technology (0253-2336)</searchLink>. Feb2026, Vol. 54 Issue 2, p79-101. 23p.
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  Data: *<searchLink fieldCode="DE" term="%22Safety%22">Safety</searchLink><br />*<searchLink fieldCode="DE" term="%22Mining+methodology%22">Mining methodology</searchLink><br />*<searchLink fieldCode="DE" term="%22Economic+efficiency%22">Economic efficiency</searchLink><br />*<searchLink fieldCode="DE" term="%22University+research%22">University research</searchLink><br />*<searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink>
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  Data: The popularization of the concept of intelligent development in mines and the demand for intelligent construction have driven research in the field of intelligent mining robots in China. intelligent mining robots have demonstrated significant advantages in enhancing production efficiency, reducing manual labor burdens, and mitigating safety risks. To conduct a detailed analysis of the development, research, and application status of intelligent mining robots in China, first, the background of China’s mining robot development in recent years is outlined. The current status of literature research, patent applications, and talent cultivation in China’s mine robot field are summarized and analyzed. Based on this, the reasons for the uneven development in research directions and content within mine robotics are further explored. Second, the typical application scenarios for each of the seven categories of intelligent mining robots covered in the Key Research and Development Catalog of Intelligent Mining Robots, respectively, intelligent tunneling robots, intelligent mining robots, intelligent transportation robots, intelligent mineral processing robots, intelligent auxiliary operation robots, intelligent safety monitoring robots, and intelligent rescue robots, are elaborated upon. Some mining robot application scenarios listed in the Public List of Typical Application Scenarios for Mining Robots and those with proven effectiveness are analyzed respectively to validate the practical outcomes of various intelligent mining robots in replacing manual labor for hazardous and strenuous tasks while enhancing production efficiency and safety. Finally, the common issues and subsequent development trends of intelligent mining robots in China are discussed and prospected. Given the complex and variable mining environment, while China’s intelligent mining robots have achieved notable progress in general-purpose key technologies and application promotion, numerous challenges remain before achieving fully autonomous and unmanned operations. For a considerable period to come, intelligent mining robots in China will remain in a developmental stage. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Chinese)
  Group: Ab
  Data: 矿山智能化发展理念的普及和智能化建设的需求推动了我国矿山智能机器人领域的研究, 矿 山智能机器人在提高生产效率、降低人工作业劳动负担和安全风险等方面表现出了突出优势。为详 细分析我国矿山智能机器人的发展研究及应用现状, 首先, 对近年来我国矿山智能机器人的发展背 景进行阐述, 对当前我国矿山智能机器人领域的相关文献研究、专利申报和人才培养方面的发展现 状进行总结分析, 在此基础上进一步对矿山智能机器人研究方向和研究内容存在发展不均衡现象的 原因进行探究; 其次, 针对《矿山智能机器人重点研发目录》所涵盖的掘进智能机器人、采矿智能 机器人、运输智能机器人、选矿智能机器人、辅助作业智能机器人、安控智能机器人和救援智能机 器人共 7 类矿山智能机器人典型应用场景分别进行阐述, 以《矿山领域机器人典型应用场景名单》 中部分矿山智能机器人应用场景和已取得显著应用成效的矿山智能机器人应用场景进行分析, 论述 各类矿山智能机器人在替代人工进行危险繁重作业、提升生产效率与安全性方面的实际成效; 最后, 对我国矿山智能机器人存在的共性问题和后续发展趋势进行探讨和展望。由于矿山环境复杂多变, 目前我国矿山智能机器人在共性关键技术和应用推广方面虽取得了显著成效, 但距实现完全自主和 无人化作业仍面临着众多挑战, 在后续相当一段时间内, 我国矿山智能机器人将始终处于发展阶段。 [ABSTRACT FROM AUTHOR]
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        Value: 10.12438/cst.2025-1526
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      – Code: chi
        Text: Chinese
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        PageCount: 23
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      – SubjectFull: Safety
        Type: general
      – SubjectFull: Mining methodology
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      – SubjectFull: Economic efficiency
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      – SubjectFull: Technological innovations
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              Text: Feb2026
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