Multi-Agent Team Access Monitoring: Environments that Benefit from Target Information Sharing
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866913288516796416 |
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| author | Dudash, Andrew James, Scott Rubel, Ryan |
| author_facet | Dudash, Andrew James, Scott Rubel, Ryan |
| contents | Robotic access monitoring of multiple target areas has applications including checkpoint enforcement, surveillance and containment of fire and flood hazards. Monitoring access for a single target region has been successfully modeled as a minimum-cut problem. We generalize this model to support multiple target areas using two approaches: iterating on individual targets and examining the collections of targets holistically. Through simulation we measure the performance of each approach on different scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_19375 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Multi-Agent Team Access Monitoring: Environments that Benefit from Target Information Sharing Dudash, Andrew James, Scott Rubel, Ryan Robotics Multiagent Systems Robotic access monitoring of multiple target areas has applications including checkpoint enforcement, surveillance and containment of fire and flood hazards. Monitoring access for a single target region has been successfully modeled as a minimum-cut problem. We generalize this model to support multiple target areas using two approaches: iterating on individual targets and examining the collections of targets holistically. Through simulation we measure the performance of each approach on different scenarios. |
| title | Multi-Agent Team Access Monitoring: Environments that Benefit from Target Information Sharing |
| topic | Robotics Multiagent Systems |
| url | https://arxiv.org/abs/2403.19375 |