Artificially intelligent flight crew systems and methods

A method comprising:

• receiving, via a sensor interface coupling an artificial intelligence processing unit with at least one sensor, environmental information regarding a cabin of an aircraft;
• the artificial intelligence processing unit configured for one or both of machine learning or being trained based on received information;
• receiving, via a flight crew interface, at least one flight crew input;
• receiving, via a passenger interface, at least one passenger input;
• and
• directing, with the artificial intelligence processing unit, at least one end effector to perform at least one task responsive to one or more of the environmental information, flight crew input, or passenger input, wherein the at least one task comprises a localized task tailored for a portion of the cabin.

A tangible and non-transitory computer-readable medium having instructions stored thereon, the instructions, when executed by a computer having an artificial intelligence processing unit, the artificial intelligence processing unit configured for one or both of machine learning or being trained based on received information;

• causing the computer to:
• receive, via a sensor interface with at least one sensor, environmental information regarding a cabin of an aircraft;
• receive, via a flight crew interface, at least one flight crew input;
• receive, via a passenger interface, at least one passenger input;
• and
• direct at least one end effector to perform at least one task responsive to one or more of the environmental information, flight crew input, or passenger input, wherein the at least one task comprises a localized task tailored for a portion of the cabin.

A passenger assistant system comprising:

• an artificial intelligence processing unit configured for one or both of machine learning or being trained based on received information;
• a sensor interface coupling the artificial intelligence processing unit with at least one sensor configured to provide environmental information regarding a cabin of an aircraft;
• a flight crew interface coupling the artificial intelligence processing unit with at least one flight crew input;
• a passenger interface coupling the artificial intelligence processing unit with at least one passenger input;
• and
• at least one end effector coupled to the artificial intelligence processing unit;
• wherein the artificial intelligence processing unit is configured to direct the at least one end effector to perform at least one task responsive to information acquired from one or more of the sensor interface, flight crew interface, or passenger interface, wherein the artificial intelligence processing unit is configured to receive an initial command from at least one of the flight crew interface or the passenger interface, modify the initial command based on historical information, and direct the at least one end effector to perform the modified command, and
• wherein the artificial intelligence processing unit is configured to modify the command using sensor information received from the sensor interface.

A method comprising:

• receiving, via a sensor interface coupling an artificial intelligence processing unit with at least one sensor, environmental information regarding a cabin of an aircraft;
• the artificial intelligence processing unit configured for one or both of machine learning or being trained based on received information;
• receiving, via a flight crew interface, at least one flight crew input;
• receiving, via a passenger interface, at least one passenger input;
• directing, with the artificial intelligence processing unit, at least one end effector to perform at least one task responsive to one or more of the environmental information, flight crew input, or passenger input;
• receiving an initial command via at least one of the flight crew interface or the passenger interface;
• modifying the initial command based on historical information and using the environmental information received from the sensor interface;
• and
• directing the at least one end effector to perform the modified command.