Real-time hierarchical map segmentation for coordinating multi-robot exploration
Coordinating a team of autonomous agents to explore an environment can be done by partitioning the map of the environment into segments and allocating the segments as targets for the individual agents to visit. However, given an unknown environment, map segmentation must be conducted in a continuous...
Saved in:
Main Authors: | LUO, Tianze, CHEN, Zichen, SUBAGDJA, Budhitama, TAN, Ah-hwee |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/7561 https://ink.library.smu.edu.sg/context/sis_research/article/8564/viewcontent/Real_Time_Hierarchical_Map_Segmentation_for_Coordinating_Multirobot_Exploration.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Real-time hierarchical map segmentation for coordinating multi-robot exploration
by: Luo, Tianze, et al.
Published: (2023) -
End-to-end deep reinforcement learning for multi-agent collaborative exploration
by: CHEN, Zichen, et al.
Published: (2019) -
Ant colony intelligence in agent coordination for dynamic manufacturing scheduling
by: Xiang, W., et al.
Published: (2014) -
Benchmarking MARL on long horizon sequential multi-objective tasks
by: GENG, Minghong, et al.
Published: (2024) -
Multi-agent collaborative exploration through graph-based deep reinforcement learning
by: LUO, Tianze, et al.
Published: (2019)