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March 31, 20260 citationsOpen Access

AGI-OCEAN-SWARM, OCEAN-(Operational Continuous Environment for Adaptive Navigation):

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RLRoman Lukin

Key Points

  • The aim is to develop a wearable navigation system that operates in multi-dimensional phase spaces to enhance navigation efficiency.
  • Integrating sensor inputs for real-time environmental data processing.
  • Using computational modeling to analyze and optimize navigation paths.
  • Employing feedback interfaces to track and minimize instability during navigation.
  • The system provides continuous stability gradients to guide agents' trajectories.
  • It allows for navigation without object recognition, enhancing reliability in low-visibility conditions.

Abstract

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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Cite This Study

Roman Lukin (2026) studied this question.

synapsesocial.com/papers/69cb6526e6a8c024954b93dehttps://doi.org/10.5281/zenodo.19303376
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