Layered LLM Support Architecture for Underwater Robotics Debugging and Operator Interaction
Overview
This arXiv abstract proposes a layered architecture where conventional autonomy handles control while large language models provide support for fault diagnosis, telemetry interpretation, and operator interaction in underwater missions. The authors note current limitations in grounding and causal reasoning prevent direct control guarantees but suggest LLMs are useful for debugging and constrained replanning.
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- arXiv Robotics — research abstractsLayered LLM Support Architecture for Underwater Robotics Debugging and Operator Interaction
This arXiv abstract proposes a layered architecture where conventional autonomy handles control while large language models provide support for fault diagnosis, telemetry interpretation, and operator interaction in underwater missions. The authors note current limitations in grounding and causal reasoning prevent direct control guarantees but suggest LLMs are useful for debugging and constrained replanning.
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