Automation of self-lifting forklift

Abstract

Techniques are described for facilitating automation of a self-lifting forklift. According to one or more embodiments, a system is provided that can be located on or within a forklift. The system can comprise a lifting system that provides for vertically lifting or lowering the forklift, a power supply, a memory that stores computer readable and executable components, and a processor that executes the computer readable and executable components stored in the memory. The processor can be operably couple to: a plurality of sensors that sense conditions associated with the forklift, a context component that determines context of the 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 an output from the analysis component, wherein the control includes automatically lifting or lowering of the forklift.

What is claimed is: 
     
         1 . 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 one or more 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 collect information associated with one or more operators of the forklift; 
 a context component that determines context of the forklift, wherein the context of the forklift comprises an identity of a forklift operator, and wherein the context component identifies and authenticates the forklift operator, upon the forklift operator engaging with the forklift, using biometrics; 
 an analysis component that analyzes information from the plurality of sensors and the context component and accesses at least one forklift operator profile stored in the memory to generate recommendations for adjusting the forklift to achieve a suitable configuration of the forklift for the forklift operator; 
   an artificial intelligence component that utilizes machine learning to facilitate the analyzing of the information from the plurality of sensors and the context component; and
 a control component that adjusts the forklift based on the recommendations for adjusting the forklift generated by the analysis component, wherein the adjusting the forklift comprises adjusting a height of the forklift. 
   
     
     
         2 . The system of  claim 1 , wherein the forklift comprises a self-lifting forklift. 
     
     
         3 . The system of  claim 1 , wherein the context component logs data associated with operation of the forklift and one or more additional forklifts by the forklift operator to continuously update the at least one forklift operator profile. 
     
     
         4 . The system of  claim 1 , wherein the analysis component builds one or more respective forklift operator profiles for one or more forklift operators and stores the one or more respective forklift operator profiles in the memory, wherein the one or more respective forklift operator profiles comprise the at least one forklift operator profile. 
     
     
         5 . The system of  claim 4 , wherein the one or more respective forklift operator profiles comprise voice profiles corresponding to the one or more forklift operators to improve effectiveness of voice commands given by frequent users of a forklift. 
     
     
         6 . The system of  claim 1 , wherein the analysis component builds one or more respective models for one or more forklifts. 
     
     
         7 . The system of  claim 1 , wherein the analysis component performs self-diagnosis of the forklift. 
     
     
         8 . The system of  claim 1 , further comprising an audio component that facilitates control of the forklift by the control component utilizing voice commands. 
     
     
         9 . The system of  claim 1 , further comprising an integration component that enables the forklift to integrate and communicate with a smart pallet to facilitate autonomous or semi-autonomous operation of the forklift. 
     
     
         10 . A computer-implemented method comprising:
 sensing, by a device operatively coupled to a processor, conditions associated with a forklift via a plurality of sensors that collect information associated with one or more operators of the forklift;   determining, by the device, a context of the forklift, wherein the context of the forklift comprises an identity of a forklift operator, and identifying and authenticating the forklift operator, upon the forklift operator engaging with the forklift, using biometrics;   analyzing, by the device, information from the plurality of sensors and the context of the forklift and accessing at least one forklift operator profile stored in a memory to generate recommendations for adjusting the forklift to achieve a suitable configuration of the forklift for the forklift operator;   utilizing, by the device, machine learning to facilitate the analyzing of the information from the plurality of sensors and the context of the forklift; and   adjusting, by the device, the forklift based on the recommendations for adjusting the forklift, wherein the adjusting the forklift comprises adjusting a height of the forklift.   
     
     
         11 . The computer-implemented method of  claim 10 , wherein the forklift comprises a self-lifting forklift. 
     
     
         12 . The computer-implemented method of  claim 10 , further comprising logging, by the device, data associated with operation of the forklift and one or more additional forklifts by the forklift operator to continuously update the at least one forklift operator profile. 
     
     
         13 . The computer-implemented method of  claim 10 , further comprising building, by the device, one or more respective forklift operator profiles for one or more forklift operators and storing the one or more respective forklift operator profiles in the memory, wherein the one or more respective forklift operator profiles comprise the at least one forklift operator profile. 
     
     
         14 . The computer-implemented method of  claim 13 , wherein the one or more respective forklift operator profiles comprise voice profiles corresponding to the one or more forklift operators to improve effectiveness of voice commands given by frequent users of a forklift. 
     
     
         15 . The computer-implemented method of  claim 10 , further comprising building, by the device, one or more respective models for one or more forklifts. 
     
     
         16 . The computer-implemented method of  claim 10 , further comprising performing, by the device, self-diagnosis of the forklift. 
     
     
         17 . The computer-implemented method of  claim 10 , further comprising facilitating, by the device, control of the forklift by utilizing voice commands. 
     
     
         18 . The computer-implemented method of  claim 10 , further comprising enabling, by the device, the forklift to integrate and communicate with a smart pallet to facilitate autonomous or semi-autonomous operation of the forklift. 
     
     
         19 . 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 via a plurality of sensors that collect information associated with one or more operators of the forklift;   determine, by the processor, a context of the forklift, wherein the context of the forklift comprises an identity of a forklift operator, and identify and authenticate the forklift operator, upon the forklift operator engaging with the forklift, using biometrics;   analyze, by the processor, information from the plurality of sensors and the context of the forklift and access at least one forklift operator profile stored in a memory to generate recommendations for adjusting the forklift to achieve a suitable configuration of the forklift for the forklift operator;   utilize, by the processor, machine learning to facilitate analyzing of the information from the plurality of sensors and the context of the forklift; and   adjust, by the processor, the forklift based on the recommendations for adjusting the forklift, wherein adjusting the forklift comprises adjusting a height of the forklift.   
     
     
         20 . The computer program product of  claim 19 , further comprising causing the processor to enable the forklift to integrate and communicate with a smart pallet to facilitate autonomous or semi-autonomous operation of the forklift.