Hierarchische Planung für Autonome Maschinen für Verschiedene Aufgaben

EP4083335 Art B1 21. Februar 2024

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
Offizieller Volltext

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
🇺🇸 Baidu USA

US-amerikanische Tochtergesellschaft des chinesischen Internetkonzerns Baidu, forscht an künstlicher Intelligenz, Suchtechnologie und autonomem Fahren.

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