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

Autor(en): (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: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Computer-Aided Civil and Infrastructure Engineering
DOI: 10.1111/mice.13428
Structurae kann Ihnen derzeit diese Veröffentlichung nicht im Volltext zur Verfügung stellen. Der Volltext ist beim Verlag erhältlich über die DOI: 10.1111/mice.13428.
  • Über diese
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  • Reference-ID
    10815171
  • Veröffentlicht am:
    03.02.2025
  • Geändert am:
    03.02.2025
 
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