Hierarchische Planung für Autonome Maschinen für Verschiedene Aufgaben
Anmelder: Baidu USA LLC 🇺🇸
Details
- Veröffentlichungs-Nr.
- EP4083335
- Aktenzeichen
- EP22190127
- Anmeldetag
- 12. August 2022
- Veröffentlichung
- 21. Februar 2024
- Erteilung
- 21. Februar 2024
- Rechtsraum
- EP
- IPC
- E02F9/20E02F9/26G05D1/02
Abstract
Autonomous excavator has developed rapidly in recent years because of a shortage of labour and hazardous working environments for operating excavators. Presented herein are embodiments of a novel hierarchical planning system for autonomous machines, such as excavators. In one or more embodiments, the overall planning system comprises a high-level task planner for task division and base movement planning, and general sub-task planners with motion primitives, which include both arm and base movement in the case of an excavator. Using embodiments of the system architecture, experiments were performed for the trench and pile removal tasks in the real world and for the large-scale material loading tasks in a simulation environment. The results show that the system architecture embodiments and planner method embodiments generate effective task and motion plans that perform well in autonomous excavation.
Anmelder
- Firma
- Baidu USA LLC
- Land
- 🇺🇸 USA
US-amerikanische Tochtergesellschaft des chinesischen Internetkonzerns Baidu, forscht an künstlicher Intelligenz, Suchtechnologie und autonomem Fahren.
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