LASSA architecture uses an LLM agent plus a physical-constraint solver to achieve autonomous fault detection and replanning for UUVs, shown to work in lake tests under normal and lower-rudder-fault conditions.
Deep reinforcement learning approach for X-rudder AUVs fault diagnosis based on deep Q-network.Journal of Marine Science and Application, January 2025
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LASSA Architecture-Based Autonomous Fault-Tolerant Control of Unmanned Underwater Vehicles
LASSA architecture uses an LLM agent plus a physical-constraint solver to achieve autonomous fault detection and replanning for UUVs, shown to work in lake tests under normal and lower-rudder-fault conditions.