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DOE OSTI · 1827493

Biologically Inspired Interception on an Unmanned System

Novick, David·Chance, Frances·Little, Charles·McKenzie, Marcus·Dellana, Ryan·Small, Daniel·Gayle, Thomas
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Abstract

Borrowing from nature, neural-inspired interception algorithms were implemented onboard a vehicle. To maximize success, work was conducted in parallel within a simulated environment and on physical hardware. The intercept vehicle used only optical imaging to detect and track the target. A successful outcome is the proof-of-concept demonstration of a neural-inspired algorithm autonomously guiding a vehicle to intercept a moving target. This work tried to establish the key parameters for the intercept algorithm (sensors and vehicle) and expand the knowledge and capabilities of implementing neural-inspired algorithms in simulation and on hardware.

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Novick, David, Chance, Frances, Little, Charles, McKenzie, Marcus, Dellana, Ryan, Small, Daniel, Gayle, Thomas. 2021-10-01. Biologically Inspired Interception on an Unmanned System. https://doi.org/10.2172/1827493

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