Volume 40 Issue 5
Oct.  2026
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LIU Zhifeng, HE Hongtong, CHEN Chen, WANG Jing, ZHANG Jizhe. Current status and adaptability research of intelligent robots in complex tunnel construction environments[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2026, 40(5): 657-663. doi: 10.20265/j.cnki.issn.1007-2993.2025-0275
Citation: LIU Zhifeng, HE Hongtong, CHEN Chen, WANG Jing, ZHANG Jizhe. Current status and adaptability research of intelligent robots in complex tunnel construction environments[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2026, 40(5): 657-663. doi: 10.20265/j.cnki.issn.1007-2993.2025-0275

Current status and adaptability research of intelligent robots in complex tunnel construction environments

doi: 10.20265/j.cnki.issn.1007-2993.2025-0275
  • Received Date: 2025-06-20
  • Accepted Date: 2025-11-11
  • Rev Recd Date: 2025-10-29
  • Available Online: 2026-10-08
  • Publish Date: 2026-10-08
  • The tunnel construction environment exhibits extreme complexity and traditional manual and mechanical construction methods have low efficiency and strong subjectivity. With their advanced perception, decision-making, and execution capabilities, intelligent robots have significantly enhanced the precision and reliability of tunnel engineering construction in complex environments. This study systematically analyzes the distinctive characteristics of tunnel construction environments. On the basis of summarizing the current research status at home and abroad, it identifies three predominant factors - complex geological conditions, spatial constraints, and harsh working environments - that significantly impact the operational performance of intelligent robots. Starting from engineering cases, it demonstrates the advantages of intelligent robots in improving tunnel construction efficiency, quality, and safety. At the same time, the technical factors affecting the adaptability of intelligent robots, such as navigation and positioning accuracy, communication stability, energy supply and endurance, as well as engineering factors such as construction process matching and collaborative operation ability with other equipment, were explored. Finally, a series of practical and feasible strategies were proposed, including customized design and strengthening the standardization of collaborative operation between equipment, to ensure that intelligent robots can better adapt to complex tunnel construction environments and process requirements, and improve tunnel construction efficiency and safety.

     

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