ROBOT AND METHOD TO RECOGNIZE AND HANDLE EXCEPTIONAL SITUATIONS
First Claim
1. A robot comprising:
- a sensing unit configured to sense information of the robot;
a storage unit configured to store the information sensed by the sensing unit, at least one inference model, at least one learning model, at least one service, at least one subtask, at least one handling task; and
a controller configured to select a service to be provided by the robot among the at least one service by using the inference model, to select a subtask to provide the selected service among the at least one subtask, and to determine whether an abnormal situation has occurred while the selected subtask are being performed by using the at least one learning model.
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Accused Products
Abstract
A robot and method to recognize and handle abnormal situations includes a sensing unit to sense internal and external information of the robot, a storage unit to store the information sensed by the sensing unit, an inference model, a learning model, services providable by the robot, subtasks to provide the services, and handling tasks to handle abnormal situations, and a controller to determine whether an abnormal situation has occurred while the subtasks to provide the selected service are being performed through the learning model in the storage unit and to select a handling task to handle the abnormal situation through the inference model in the storage unit if it is determined that the abnormal situation occur. The robot may recognize and handle abnormal situations even though data other than that defined by a designer of the robot is input thereto due to noises or operational environment.
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Citations
16 Claims
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1. A robot comprising:
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a sensing unit configured to sense information of the robot; a storage unit configured to store the information sensed by the sensing unit, at least one inference model, at least one learning model, at least one service, at least one subtask, at least one handling task; and a controller configured to select a service to be provided by the robot among the at least one service by using the inference model, to select a subtask to provide the selected service among the at least one subtask, and to determine whether an abnormal situation has occurred while the selected subtask are being performed by using the at least one learning model. - View Dependent Claims (2, 3, 4, 5, 6, 13, 14)
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7. A method to recognize and handle abnormal situations in a robot, the method comprising:
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sensing, by a sensor, information of the robot; selecting, by a processor, a service to be provided by the robot by using an inference model; selecting, by the processor, a subtask to provide the selected service; and determining, by using a learning model, whether an abnormal situation has occurred while the subtask are being performed. - View Dependent Claims (8, 9, 10, 11, 12, 15, 16)
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Specification