CONTINUAL PROACTIVE LEARNING FOR AUTONOMOUS ROBOT AGENTS

A robot agent (102) includes an electro-mechanical subsystem (202), a sensor subsystem (204) having one or more sensors, and a computer hardware subsystem (206) to execute one or more sets of executable instructions (212, 214, 216, 218, 220). The one or more sets of executable instructions manipulat...

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Bibliographische Detailangaben
Hauptverfasser:	Davidson, James, Poursohi, Arshan, Mason, Julian
Format:	Patent
Sprache:	eng
Schlagworte:	CONTROLLING HAULING HOISTING HOISTING, LIFTING, HAULING OR PUSHING, NOT OTHERWISE PROVIDEDFOR, e.g. DEVICES WHICH APPLY A LIFTING OR PUSHING FORCEDIRECTLY TO THE SURFACE OF A LOAD LIFTING PERFORMING OPERATIONS PHYSICS REGULATING SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES TRANSPORTING
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Beschreibung
Zusammenfassung:	A robot agent (102) includes an electro-mechanical subsystem (202), a sensor subsystem (204) having one or more sensors, and a computer hardware subsystem (206) to execute one or more sets of executable instructions (212, 214, 216, 218, 220). The one or more sets of executable instructions manipulate the robot agent to predict an action to be implemented by the robot agent in performing a task (112) and predict whether the robot agent will fail in performing the action. The one or more sets of executable instructions further manipulate the robot agent to, responsive to predicting the robot agent will fail in performing the action, obtain guidance input (116) for the first action from at least one guidance source, the guidance input representing guidance for performing the action by the robot agent, and manipulate the electro-mechanical subsystem to perform the action using the guidance input.