MACHINE LEARNING BASED DECISION MAKING FOR ROBOTIC ITEM HANDLING

A method for controlling a robotic item handler is described. The method includes constructing a machine learning model based on a combined point cloud data as an input to a convolution neural network, outputting a decision classification indicative of a first probability associated with a first ope...

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Bibliographische Detailangaben
Hauptverfasser:	MAKHAL, Abhijit, CLUCAS, Dominic G, SWAIN, Dikshya, WICKS, Matthew R
Format:	Patent
Sprache:	eng
Schlagworte:	CHAMBERS PROVIDED WITH MANIPULATION DEVICES CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS HAND TOOLS MANIPULATORS MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PERFORMING OPERATIONS PHYSICS PORTABLE POWER-DRIVEN TOOLS REGULATING TRANSPORTING
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Beschreibung
Zusammenfassung:	A method for controlling a robotic item handler is described. The method includes constructing a machine learning model based on a combined point cloud data as an input to a convolution neural network, outputting a decision classification indicative of a first probability associated with a first operating mode and a second probability associated with a second operating mode, selecting one of the first operating mode and the second operating mode of the robotic item handler based on the decision classification outputted by the machine learning model, and operating the robotic item handler according to the selection of the one of the first operating mode and the second operating mode.