Resource Allocation with Multi-Team Collaboration Based on Hamilton's Rule
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913124788994048 |
|---|---|
| author | Karam, Riwa Lin, Ruoyu Butler, Brooks A. Egerstedt, Magnus |
| author_facet | Karam, Riwa Lin, Ruoyu Butler, Brooks A. Egerstedt, Magnus |
| contents | This paper presents a multi-team collaboration strategy based on Hamilton's rule from ecology that facilitates resource allocation among multiple teams, where agents are considered as shared resource among all teams that must be allocated appropriately. We construct an algorithmic framework that allows teams to make bids for agents that consider the costs and benefits of transferring agents while also considering relative mission importance for each team. This framework is applied to a multi-team coverage control mission to demonstrate its effectiveness. It is shown that the necessary criteria of a mission evaluation function are met by framing it as a function of the locational coverage cost of each team with respect to agent gain and loss, and these results are illustrated through simulations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_09016 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Resource Allocation with Multi-Team Collaboration Based on Hamilton's Rule Karam, Riwa Lin, Ruoyu Butler, Brooks A. Egerstedt, Magnus Systems and Control This paper presents a multi-team collaboration strategy based on Hamilton's rule from ecology that facilitates resource allocation among multiple teams, where agents are considered as shared resource among all teams that must be allocated appropriately. We construct an algorithmic framework that allows teams to make bids for agents that consider the costs and benefits of transferring agents while also considering relative mission importance for each team. This framework is applied to a multi-team coverage control mission to demonstrate its effectiveness. It is shown that the necessary criteria of a mission evaluation function are met by framing it as a function of the locational coverage cost of each team with respect to agent gain and loss, and these results are illustrated through simulations. |
| title | Resource Allocation with Multi-Team Collaboration Based on Hamilton's Rule |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2505.09016 |