ARCHIMEDES: Active Reasoning Conducted with Heterogeneous Information Monitors for Evading Dangers and Extended Surveillance

Authors

DOI:

https://doi.org/10.32473/flairs.36.133361

Keywords:

Task Allocation, Information Gain, Constraint Reasoning, Planning

Abstract

ARCHIMEDES is a suite of algorithms for planning and task allocation to monitor and surveil a geometrically defined area with a group of heterogenous agents. We focus on maximizing the information gained over a fleet of such agents. The multi-step process allows for our force-based system to find a solution faster by generating reasonable starting points for agents. We present our proposed algorithms, compare them to the most relevant related work via a walkthrough discussion, and describe experimental results from ARCHIMEDES in many mathematically abstract scenarios.

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Published

08-05-2023

How to Cite

Schoenbeck, S., & Kuter, U. (2023). ARCHIMEDES: Active Reasoning Conducted with Heterogeneous Information Monitors for Evading Dangers and Extended Surveillance. The International FLAIRS Conference Proceedings, 36(1). https://doi.org/10.32473/flairs.36.133361

Issue

Vol. 36 (2023): Proceedings of FLAIRS-36

Section

Main Track Proceedings

License

Copyright (c) 2023 Simon Schoenbeck, Ugur Kuter

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.