重型机械Issue(2)：1-6,6.
矿山作业机器人具身智能与人机协同技术现状
Current status of embodied intelligence and human-robot collaboration technologies for mining operation robots
摘要
Abstract
Traditional teleoperation of mining robots faces significant bottlenecks in perception integrity,decision-making efficiency,and system generalization within complex operational scenarios.This study aims to explore the technical trajectory of mining robots as they evolve from basic operational autonomy to high-level cognitive intelligence.From the perspective of intelligent evolution,the development of control and decision-making technologies for mining robots is systematically reviewed.A three-stage progressive technical framework is proposed:achieving action-level autonomy through embodied intelligence,ensuring operational safety in complex conditions via Human-Robot Collaboration(HRC)and digital twins,and advancing cognitive decision-making through generative artificial intelligence.The study specifically analyzes the impact of Large Language Models(LLMs)on the reconstruction of HRC patterns and decision-making paradigms.Furthermore,the knowledge transfer mechanisms and application prospects of LLMs in highly uncertain mining environments are discussed.The analysis demonstrates that an LLM-empowered cyber-physical fusion architecture can effectively reduce human cognitive load and enhance system resilience.Finally,aligning with the"human-centered"philosophy of Industry 5.0,this paper envisions the future evolution of smart mines under the premise of safety and controllability.关键词
矿山机器人/具身智能/人机协同/大语言模型/数字孪生Key words
mining robots/embodied intelligence/human-robot collaboration/large language models/digital twins分类
信息技术与安全科学引用本文复制引用
郭鑫颖,谢嘉成,乔晓军,王学文,刘曙光..矿山作业机器人具身智能与人机协同技术现状[J].重型机械,2026,(2):1-6,6.基金项目
山西省科技重大专项计划"揭榜挂帅"资助项目(202301010101002) （202301010101002）
山西省基础研究计划(202403021221045) （202403021221045）
山西省留学人员科技活动择优重点资助项目(20230008) （20230008）
