A multi-robot collaborative manipulation framework for dynamic and obstacle-dense environments: integration of deep learning for real-time task execution
This paper presents a multi-robot collaborative manipulation framework, implemented in the Gazebo simulation environment, designed to enable the execution of autonomous tasks by mobile manipulators in dynamic environments and dense obstacles. The system consists of multiple mobile robot platforms, e...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Robotics and AI |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2025.1585544/full |
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