Automation of self-lifting forklift

A system located on or within a forklift, comprising:

• a lifting system that provides for vertically lifting or lowering the forklift;
• a power supply;
• a drive train for self-propelling the forklift;
• a memory storing one or more computer readable and executable components;
• and
• a processor operably coupled to the memory and that executes the computer readable and executable components stored in the memory and that is operably coupled to:
• a plurality of sensors that sense conditions associated with the forklift;
• a context component that determines context of the forklift, wherein the context of the forklift comprises extrinsic data that can affect intended use of the forklift;
• an analysis component that analyzes information from the plurality of sensors and the context component;
• an artificial intelligence component that utilizes machine learning to facilitate the analyzing of the information from the plurality of sensors and the context component to detect patterns associated with how the forklift or similar forklifts perform under various conditions and adjust output from the analysis component based on the patterns;
• and
• a control component that controls the forklift based on output from the analysis component and adjustments by the artificial intelligence component, wherein the control includes automatically lifting or lowering of the forklift or self-propelling the forklift, and wherein the control component provides for self-navigation of the forklift based at least in part on analysis of machine vision information.

A computer-implemented method comprising:

• sensing, by a device operatively coupled to a processor, conditions associated with a forklift;
• determining, by the device, context of the forklift;
• analyzing, by the device, information associated with the conditions and the context of the forklift, wherein the context of the forklift comprises extrinsic data that can affect intended use of the forklift;
• utilizing machine learning to facilitate analyzing of information and detecting patterns associated with how the forklift or similar forklifts perform under various conditions and adjusting the analysis based on the patterns;
• and
• controlling, by the device, the forklift based on analysis of the information and adjustments based on the detected patterns, including automatically lifting or lowering of the forklift, and providing for self-navigation of the forklift based at least in part on analysis of machine vision information.

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions are executable by a processor to cause the processor to:

• sense, by the processor, conditions associated with a forklift;
• determine, by the processor, context of the forklift;
• analyze, by the processor, information associated with the conditions and the context of the forklift, wherein the context of the forklift comprises extrinsic data that can affect intended use of the forklift;
• utilizing machine learning to facilitate analyzing of information and detecting patterns associated with how the forklift or similar forklifts perform under various conditions and adjusting the analysis based on the patterns;
• and
• control, by the processor, the forklift based on analysis of the information and adjustments based on the detected patterns, including automatically lifting or lowering of the forklift, and providing for self-navigation of the forklift based at least in part on analysis of machine vision information.

A system located on or within a forklift, comprising:

• a lifting system that provides for vertically lifting or lowering the forklift;
• a power supply;
• a memory storing one or more computer readable and executable components;
• and
• a processor operably coupled to the memory and that executes the computer readable and executable components stored in the memory and that is operably coupled to:
• a plurality of sensors that sense conditions associated with the forklift, wherein the plurality of sensors include machine vision;
• a context component that determines context of the forklift, wherein the context of the forklift comprises extrinsic data that can affect intended use of forklift;
• an analysis component that analyzes information from the plurality of sensors and the context component;
• and
• a control component that controls the forklift based on output of the analysis component and a preset configuration for ideal lift points for the forklift corresponding to various types of trucks and vehicles to automatically lift or lower the forklift.