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JRM Vol.37 No.4 pp. 984-1001
doi: 10.20965/jrm.2025.p0984
(2025)

Review:

Multi-Intelligent Excavator Collaboration Systems: An Overview

Bin Zhang*,** ORCID Icon, Jiayang Hu*,** ORCID Icon, Teng Yang*, and Haocen Hong** ORCID Icon

*School of Mechanical Engineering, Zhejiang University
No.866 Yuhangtang Road, Hangzhou, Zhejiang 310030, China

**Institute of Advanced Machines Zhejiang University
No.505 Xingguo Road, Hangzhou, Zhejiang 311106, China

Received:
July 22, 2024
Accepted:
May 28, 2025
Published:
August 20, 2025
Keywords:
excavator, aystem, MECS, collaboration, task analysis
Abstract

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.

MECS keyword mapping

MECS keyword mapping

Cite this article as:
B. Zhang, J. Hu, T. Yang, and H. Hong, “Multi-Intelligent Excavator Collaboration Systems: An Overview,” J. Robot. Mechatron., Vol.37 No.4, pp. 984-1001, 2025.
Data files:
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Last updated on Aug. 19, 2025