This thesis presents distribution strategies for pursuit evasion games of networked multi-agent systems. The strategies are designed for both obstacle-free and obstacle-cluttered environments, leveraging potential maps as a method. The effectiveness of the proposed strategies was eval- uated through simulation and analysis, and the result is that combining a potential map and position extrapolation for obstacle avoidance was very successful at producing competent autonomous agents, and very com- patible when combined with specifically tailored pursuer algorithms for seeking and capture
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-348816 |
| Date | January 2024 |
| Creators | Marin, Viktor, Sandström Nordin, Simon |
| Publisher | KTH, Skolan för teknikvetenskap (SCI) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | TRITA-SCI-GRU ; 2024:264 |
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