Artificial intelligence co-pilot for manned and unmanned aircraft
View Patent ↗An Artificial Intelligence Co-pilot method and systems that encompasses a range of advanced technologies and methodologies, all focused on enhancing flight safety and efficiency. By integrating AI into the cockpit, we can significantly reduce the potential for human error and empower pilots to make better, more informed decisions in real-time. The AI Co-Pilot System is a sophisticated solution designed to support human pilots to Aviate, Navigate, and Communicate and in managing aircraft operations by processing voice commands and inquiries. It employs advanced (CHATGPT) Natural Language Processing (NLP) and Human-Machine Interface (HMI) technologies to establish seamless interaction between the pilot and the aircraft system, ultimately enhancing navigation, safety, and overall flight performance.
1 . An Artificial Intelligence (AI) Co-Pilot system designed to assist human pilots to aviate, navigate, communicate, and manage aircraft operations, comprising:
a. a speech recognition module configured to receive and process voice commands from a pilot;
b. a speech synthesis module configured to generate audible feedback and responses for the pilot;
c. a natural language processing module, comprising an augmented fine-tuned large language transformer model (LLM) trained to contextually understand, process, and generate responses to aviation-specific language, communication methods, and safety issues by utilizing contextual information derived from ongoing pilot conversations and stored aviation safety datasets;
d. a processor configured to manage speech recognition, text-to-speech conversion, text prompt generation, graphics processing, and command execution;
e. an interface configured for integrating the AI Co-Pilot system with the aircraft's avionics and other systems;
f. a training module configured to preprocess aviation specific-training data and fine-tune the LLM; and
g. a deployment flight hardware kit configured to integrate the fine-tuned LLM transformer model into the AI Co-Pilot system.
2 . The AI Co-Pilot system of claim 1 , wherein the speech recognition module and speech synthesis module are integrated into the aircraft's cockpit to enable seamless and efficient interaction between the pilot and aircraft systems.
3 . The AI Co-Pilot system of claim 1 , wherein the natural language processing module comprises an augmented fine-tuned LLM transformer model, configured to interpret commands and/or inquiries from the pilot and to provide real-time decision support by leveraging data from the sensor suite to reduce the potential for human error.
4 . The AI Co-Pilot system of claim 1 , wherein the processor comprises CPU(s) and GPU(s) for efficient processing of speech recognition, text-to-speech conversion, text prompts, graphics processing, and command execution.
5 . The AI Co-Pilot system of claim 1 , wherein the training module is implemented in a cloud computing infrastructure and utilizes Aviation Safety Reporting System (ASRS) and Federal Aviation Administration (FAA) datasets for preprocessing, training, and fine-tuning the LLM transformer model.
6 . The AI Co-Pilot system of claim 1 , wherein the deployment flight hardware kit is configured to seamlessly integrate the fine-tuned LLM transformer model into the AI Co-Pilot system, thereby enhancing the system's capacity to comprehend and process aviation-specific information.
7 . A method for deploying an AI Co-Pilot system for an aircraft, comprising:
a. integrating a speech recognition module and a speech synthesis module into the aircraft's cockpit;
b. preprocessing an aviation-specific dataset and fine-tuning an LLM transformer model using a cloud computing infrastructure;
c. deploying the fine-tuned LLM transformer model into the AI Co-Pilot system using onboard flight hardware to enable real-time onboard processing independent from external networks;
d. interpreting voice commands from a pilot and generating audible feedback and operational responses using the onboard AI Co-Pilot system in real-time during flight operations; and
e. providing real-time decision support to the pilot through the natural language processing module.