GitHub - RohanSeam/Forest-Fire-Mapping: Decentralized multi-agent UAV MATLAB mapping algorithm that employs a unique reward function to incentivize agents to maximize information gathering of an uncertain scenario. Conference paper is published to the IEEE SMC Conference.

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Decentralized multi-agent UAV MATLAB mapping algorithm that employs a unique reward function to incentivize agents to maximize information gathering of an uncertain scenario. Conference paper is published to the IEEE SMC Conference.

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SMC2020 8-31 Final Draft.pdf		SMC2020 8-31 Final Draft.pdf

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Collaborated with a University of Washington Tacoma professor in order to derive a new multi-agent UAV control algorithm to explore and map a forest fire scenario. Demonstrated the effectiveness of this new algorithm by comparing to pre-existing algorithms to use as a baseline. These findings are assembled into a conference paper submitted to the IEEE Systems, Man, and Cybernetics Conference.