Model Predictive Path Planning of AGVs: Mixed Logical Dynamical Formulation and Distributed Coordination-Reference-Cited by-同舟云学术

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Model Predictive Path Planning of AGVs: Mixed Logical Dynamical Formulation and Distributed Coordination

Published:2023-07 Issue:7 Volume:24 Page:6943-6954
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Xin Jianbin¹^ORCID,Wu Xuwen¹,D’Ariano Andrea²^ORCID,Negenborn Rudy³^ORCID,Zhang Fangfang¹^ORCID

Affiliation:

1. School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China

2. Department of Civil, Computer Science and Aeronautical Technologies Engineering, Roma Tre University, Roma, Italy

3. Department of Marine and Transport Technology, Delft University of Technology, Delft, The Netherlands

Funder

National Natural Science Foundation of China

College Youth Backbone Teacher Project of Henan Province

Henan Provincial Science and Technology Research Project

Training Project of Zhengzhou University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10175858/10078387.pdf?arnumber=10078387

Reference39 articles.

1. Time-space network model and MILP formulation of the conflict-free routing problem of a capacitated AGV system

2. Cooperative Multi-Vessel Systems in Urban Waterway Networks

3. Distributed route planning for multiple mobile robots using an augmented Lagrangian decomposition and coordination technique

4. Toward high degree flexible routing in collision-free FMSs through automated guided vehicles’ dynamic strategy: A simulation metamodel

5. Petri Net Decomposition Approach for Dispatching and Conflict-Free Routing of Bidirectional Automated Guided Vehicle Systems

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1. Dynamic unbalanced task allocation of warehouse AGVs using integrated adaptive large neighborhood search and Kuhn–Munkres algorithm;Computers & Industrial Engineering;2024-09

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