This system enables effective navigation in low-visibility environments, suggesting improvements for autonomous and human agents.
ABSTRACTA wearable system for real-time navigation in a multi-dimensional phase space is disclosed.The system integrates sensor inputs, computational modeling, and feedback interfaces toevaluate and minimize an instability functional ζ(S). By transforming environmental data intocontinuous stability gradients, the system enables agents to follow optimal trajectorieswithout reliance on object recognition or symbolic reasoning. Applications include humannavigation in low-visibility environments, autonomous systems, and distributed coordinationof multi-agent systems.
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Roman Lukin (2026) studied this question.
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