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.
Adynamic bioinspired neural network based real-time path planning method for autonomous underwater vehicles.Computational Intelligence and Neuroscience, 2017:1–16
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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.