AI self-adaptive combat robot system based on quantum nuclear fusion driving and control method of AI self-adaptive combat robot system

Through the AI ​​adaptive combat robot system driven by quantum nuclear fusion, the problems of low energy density, large decision-making delay and single attack mode of traditional combat robots are solved, achieving high battery life, fast decision-making and flexible attack effects.

CN120176494AInactive Publication Date: 2025-06-20李建业
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Patent Information

Application Number
CN202510469022.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-15
Publication Date
2025-06-20
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The energy supply density of existing combat robots is low, resulting in poor endurance; the decision-making system relies on classic computing architecture and processes complex battlefield data slowly, resulting in decision-making delays, making it difficult to quickly make accurate and effective response strategies; the attack mode of traditional weapon systems is single and the switching speed is slow, making it difficult to flexibly adjust the attack method.

Method used

The AI ​​adaptive combat robot system driven by quantum nuclear fusion generates a micro black hole reactor through quantum gravity constraints, providing high energy density energy supply; the quantum AI decision center is equipped with a superconducting qubit processor, which runs hybrid quantum-classic algorithms, and quickly processes battlefield data; the quantum state weapon system uses quantum tunneling effect to manipulate nanoworm swarms to achieve fast and flexible attack capabilities.

Benefits of technology

It significantly improves the endurance of combat robots, reduces energy supply demand and risks; it greatly improves the processing speed and decision-making efficiency of complex battlefield data, improves the combat response speed and decision-making accuracy; it enhances combat effectiveness and survivability, and can flexibly respond to diversified combat tasks and complex enemy defense systems.

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Abstract

The invention provides an AI self-adaptive combat robot system based on quantum nuclear fusion driving and a control method of the AI self-adaptive combat robot system, and belongs to the technical field of cross of artificial intelligence and quantum physics. The technical problems that in the prior art, energy efficiency is low, intelligent decision is lagged, and weapon system response is slow are solved, the system comprises a quantum nuclear fusion energy module, a micro black hole energy reactor is achieved through quantum gravitation constraint, the energy density reaches 1020 W / m < 3 >, and ultrahigh-speed maneuvering and weapon energy charging are supported; the quantum AI decision center is used for realizing 0.1 second-level dynamic modeling and tactical optimization of a battlefield environment based on a neural network processor of superconducting quantum bits; according to the quantum state weapon system, the quantum tunneling effect is used for controlling nanometer insect groups, and a reconfigurable attack form is formed.
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