The invention discloses an
underwater explosive ordnance disposal control method and
system based on an AI
large model and a
robot, and relates to the technical field of
underwater robotics.
Underwater optical images and
sonar data are collected through a sensing module and input into a pre-trained AI
large model for real-time analysis, potential threats are recognized, and a decision instruction containing a path planning and operation sequence is generated; when the analysis confidence coefficient is lower than a threshold
value set based on historical data, interaction information containing multi-
modal data abstracts, alternative schemes and
risk assessment is automatically generated and sent to an operator, instructions are executed after being received, the
system comprises a sensing module, an AI
processing module, a communication module, a control execution module and a state monitoring module, and a
robot body is integrated with a processor to solidify the method. The autonomous decision-making precision and efficiency of the
robot in a complex environment are improved through an AI
large model, the man-
machine cooperation response speed is optimized by using an intelligent interaction mechanism, and the reliability and environmental adaptability of the
system are significantly enhanced in combination with state monitoring and edge-cloud cooperative computing.