Multi-Intelligent Excavator Collaboration Systems: An Overview
Bin Zhang, Jiayang Hu, Teng Yang, Haocen Hong
Zhejiang University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
The advancement in automation technology for excavators signifies a shift from individual excavation tasks to collaborative multi-machine operations, with the aim of enhancing efficiency and safety in extensive operations. This study presents a concise overview of multi-intelligent excavator collaboration systems (MECS), introducing a framework that includes networked communication, task analysis, and motion planning. Networked communication is foundational, bolstered by the widespread use of Ethernet and the industrialization of 5G technology. Task analysis, which is the core of system, is bifurcated into single-agent intelligence and multi-machine collaboration, considering the task efficiency and collaborative completeness in complex environments. Motion planning, inherently linked to task analysis, is divided into operational and mobility aspects. Finally, this paper concludes by summarizing and projecting key technologies within the framework of collaborative systems.
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
工程Robot Manipulation and Learning
Manufacturing Process and Optimization · Advanced Manufacturing and Logistics Optimization
参考文献 86
此处列出前 3 条