This paper provides a framework (SASS) to solve the multi-agent cooperative issues. At this stage, it does not involve the complex decision and learning level into the architecture, but I believe that it can provide an exciting way to solve the Flatland Challenge. The video is available as follow:
Hierarchical Needs Based Self-Adaptive Framework For Cooperative Multi-Robot System
It already was accepted by the conference IEEE International Conference on Systems, Man, and Cybernetics 2020. Currently, you may find in arXiv: https://arxiv.org/pdf/2004.10920.pdf
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Hi Guys,
I just update some further work about my current research which focuses on implementing SASS in rescue missions. And I hope it can give you some inspiration and develop some more interesting and challenging problems which can help solve real-world issues. The video is available as follow:
Needs-driven Heterogeneous Multi-Robot Cooperation in Rescue Missions
This paper is already accepted by the 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics. Currently, you can find in arXiv: https://arxiv.org/pdf/2009.00288v2.pdf
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