Research & Development

Intelligent Controls for Unmanned Vehicles
To achieve these objectives, Bluetronix is generating genetic (GA), evolutionary, and swarm intelligent algorithms that enable autonomous multi-agent swarms to attain emergent behavior - the ability to accomplish complex objectives through synergistic interactions of simple reactionary components. They are inspired by emergent behavioral strategies observed in insect societies; the firm has recently produced algorithms that successfully mirror their capacity to solve complex problems through interactions of simple agents for a variety of applications. Bluetronix's control algorithms can be generalized to coordinate autonomous multi-agent swarms for missions that larger conventional systems could not perform due to their lack of flexibility. The resultant algorithms will empower low cost autonomous agents with the ability to effectively operate in rapidly varying environments, alter mission directives, and to avoid communication blackouts.

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