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Reinforcement learning‐based trajectory planning for continuous digging of excavator working devices in trenching tasks

Author(s): (Key Laboratory of CNC Equipment Reliability Ministry of Education School of Mechanical and Aerospace Engineering Jilin University Changchun China)
(Third Department Xi'an Aerospace Propulsion Testing Technology Research Institute Xi'an China)
(Key Laboratory of CNC Equipment Reliability Ministry of Education School of Mechanical and Aerospace Engineering Jilin University Changchun China)
(Key Laboratory of CNC Equipment Reliability Ministry of Education School of Mechanical and Aerospace Engineering Jilin University Changchun China)
(Key Laboratory of CNC Equipment Reliability Ministry of Education School of Mechanical and Aerospace Engineering Jilin University Changchun China)
(Key Laboratory of CNC Equipment Reliability Ministry of Education School of Mechanical and Aerospace Engineering Jilin University Changchun China)
(College of Mechanical and Vehicle Engineering Taiyuan University of Technology Taiyuan China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering
DOI: 10.1111/mice.13428
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1111/mice.13428.
  • About this
    data sheet
  • Reference-ID
    10815171
  • Published on:
    03/02/2025
  • Last updated on:
    03/02/2025
 
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