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References (24)

[1]
Destination-to-Chutes Task Mapping Optimization for Multi-Robot Coordination in Robotic Sorting Systems
2025Yulun Zhang, Alexandre O. G. Barbosa et al.
[2]
Should Multi-Agent Path Finding Algorithms Coordinate Target Arrival Times?
2025Jonathan Morag, Noy Gabay et al.
[3]
Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities
2025Yue Zhang, Zhe Chen et al.
[4]
Advancing MAPF towards the Real World: A Scalable Multi-Agent Realistic Testbed (SMART)
2025Jingtian Yan, Zhifei Li et al.
[5]
Speedup Techniques for Switchable Temporal Plan Graph Optimization
2024He Jiang, Muhan Lin et al.
[6]
Multi-Agent Motion Planning For Differential Drive Robots Through Stationary State Search
2024Jingtian Yan, Jiaoyang Li
[7]
A Real-Time Rescheduling Algorithm for Multi-robot Plan Execution
2024Ying Feng, Adittyo Paul et al.
[8]
Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution
2023Yifan Su, Rishi Veerapaneni et al.
[9]
Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding
2023Zhe Chen, Daniel D. Harabor et al.
[10]
Efficient Multi Agent Path Finding with Turn Actions
2023Yue Zhang, Daniel D. Harabor et al.
[11]
Multi-Robot Coordination and Layout Design for Automated Warehousing
2023Yulun Zhang, Matthew C. Fontaine et al.
[12]
Conflict-Based Search for Optimal Multi-Agent Pathfinding
2023Ms. Gowalkar Pooja, Dr. Sachin Bhosale
[13]
Which MAPF Model Works Best for Automated Warehousing?
2022Sumanth Varambally, Jiaoyang Li et al.
[14]
Optimal and Bounded-Suboptimal Multi-Agent Motion Planning
2021L. Cohen, T. Uras et al.
[15]
Bridges-2: A Platform for Rapidly-Evolving and Data Intensive Research
2021Shawn T. Brown, P. Buitrago et al.
[16]
Anytime Multi-Agent Path Finding via Large Neighborhood Search
2021Jiaoyang Li, Zhe Chen et al.
[17]
New Techniques for Pairwise Symmetry Breaking in Multi-Agent Path Finding
2020Jiaoyang Li, G. Gange et al.
[18]
Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers
2019Ngai Meng Kou, Cheng Peng et al.
[19]
Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks
2019Roni Stern, Nathan R Sturtevant et al.
[20]
Task and Path Planning for Multi-Agent Pickup and Delivery
2019Minghua Liu, Hang Ma et al.

Showing 20 of 24 references

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