Application of factory automation for an airline assembly and build process
First Claim
1. A method for work cell and factory level automation, comprising:
- making one or more distance measurements of one or more objects within a work cell using at least one laser scanner sensor on an automated guided vehicle (AGV);
filtering the distance measurements of the objects that are not target features on a cradle fixture or workstand within the work cell;
removing systematic or bias errors of the laser scanner sensor from the filtered distance measurements;
applying a mathematical filter or estimator to the filtered distance measurements using random errors of the laser scanner sensor to generate estimated distance measurements;
constructing a map of the target features on the cradle fixture or workstand within the work cell using the estimated distance measurements; and
using the constructed map for path planning and navigation control of the AGV relative to the cradle fixture or workstand within the work cell.
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Abstract
Work cell and factory level automation require that an Automated Guided Vehicle (AGV) achieve demanding positional accuracy and repeatability relative to a cradle fixture or workstand within a work cell. The AGV makes distance measurements of objects within the work cell using laser scanner sensors. The distance measurements are filtered of objects that are not target features on the cradle fixture or workstand. Systematic or bias errors of the laser scanner sensor are removed from the filtered distance measurements, and a mathematical filter or estimator is applied to the filtered distance measurements using random errors of the laser scanner sensor to generate estimated distance measurements. A map of the target features is then constructed using the estimated distance measurements, wherein the map is used for path planning and navigation control of the AGV relative to the cradle fixture or workstand within the work cell.
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Citations
26 Claims
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1. A method for work cell and factory level automation, comprising:
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making one or more distance measurements of one or more objects within a work cell using at least one laser scanner sensor on an automated guided vehicle (AGV); filtering the distance measurements of the objects that are not target features on a cradle fixture or workstand within the work cell; removing systematic or bias errors of the laser scanner sensor from the filtered distance measurements; applying a mathematical filter or estimator to the filtered distance measurements using random errors of the laser scanner sensor to generate estimated distance measurements; constructing a map of the target features on the cradle fixture or workstand within the work cell using the estimated distance measurements; and using the constructed map for path planning and navigation control of the AGV relative to the cradle fixture or workstand within the work cell. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. An apparatus for work cell and factory level automation, comprising:
an automated guided vehicle (AGV) including at least one laser scanner sensor and a controller, wherein the controller is operable for; making one or more distance measurements of one or more objects within a work cell using the laser scanner sensor on the AGV; filtering the distance measurements of the objects that are not target features on a cradle fixture or workstand within the work cell; removing systematic or bias errors of the laser scanner sensor from the filtered distance measurements; applying a mathematical filter or estimator to the filtered distance measurements using random errors of the laser scanner sensor to generate estimated distance measurements; constructing a map of the target features on the cradle fixture or workstand within the work cell using the estimated distance measurements; and using the constructed map for path planning and navigation control of the AGV relative to the cradle fixture or workstand within the work cell.
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17. A method for work cell and factory level automation, comprising:
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filtering one or more distance measurements of one or more objects that are not target features on a cradle fixture or workstand within a work cell; removing systematic or bias errors of one or more laser scanner sensors on an automated guided vehicle (AGV) from the filtered distance measurements; applying a mathematical filter or estimator to the filtered distance measurements using random errors of the laser scanner sensors to generate estimated distance measurements; constructing a map of the target features on the cradle fixture or workstand within the work cell using the estimated distance measurements; and using the constructed map to enable the AGV to accurately and repeatedly return to one or more taught node positions within the work cell. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26)
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Specification