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Optimizing Space Utilization for More Effective Multi-Robot Path
  Planning

Optimizing Space Utilization for More Effective Multi-Robot Path Planning

10 September 2021
Shuai D. Han
Jingjin Yu
ArXiv (abs)PDFHTML

Papers citing "Optimizing Space Utilization for More Effective Multi-Robot Path Planning"

6 / 6 papers shown
Title
Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields
Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields
Arseniy Pertzovsky
Roni Stern
Ariel Felner
Roie Zivan
AI4CE
35
0
0
28 May 2025
Decentralized Lifelong Path Planning for Multiple Ackerman Car-Like
  Robots
Decentralized Lifelong Path Planning for Multiple Ackerman Car-Like Robots
Teng Guo
Jingjin Yu
79
1
0
19 Feb 2024
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
Yulun Zhang
He Jiang
Varun Bhatt
Stefanos Nikolaidis
Jiaoyang Li
85
10
0
02 Feb 2024
Bin Assignment and Decentralized Path Planning for Multi-Robot Parcel
  Sorting
Bin Assignment and Decentralized Path Planning for Multi-Robot Parcel Sorting
Teng Guo
Jingjin Yu
66
0
0
26 Oct 2023
Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding
Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding
Zhe Chen
Daniel Harabor
Jioyang Li
Peter Stuckey
171
9
0
22 Aug 2023
Engineering LaCAM$^\ast$: Towards Real-Time, Large-Scale, and
  Near-Optimal Multi-Agent Pathfinding
Engineering LaCAM∗^\ast∗: Towards Real-Time, Large-Scale, and Near-Optimal Multi-Agent Pathfinding
Keisuke Okumura
70
0
0
08 Aug 2023
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