Invention Grant
- Patent Title: Discrepancy detection apparatus and methods for machine learning
- Patent Title (中): 差异检测装置和机器学习方法
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Application No.: US14088258Application Date: 2013-11-22
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Publication No.: US09248569B2Publication Date: 2016-02-02
- Inventor: Patryk Laurent , Jean-Baptiste Passot , Filip Ponulak , Eugene Izhikevich
- Applicant: BRAIN CORPORATION
- Applicant Address: US CA San Diego
- Assignee: Brain Corporation
- Current Assignee: Brain Corporation
- Current Assignee Address: US CA San Diego
- Agency: Gazdzinski & Associates, PC
- Main IPC: B25J9/16
- IPC: B25J9/16

Abstract:
A robotic device may comprise an adaptive controller configured to learn to predict consequences of robotic device's actions. During training, the controller may receive a copy of the planned and/or executed motor command and sensory information obtained based on the robot's response to the command. The controller may predict sensory outcome based on the command and one or more prior sensory inputs. The predicted sensory outcome may be compared to the actual outcome. Based on a determination that the prediction matches the actual outcome, the training may stop. Upon detecting a discrepancy between the prediction and the actual outcome, the controller may provide a continuation signal configured to indicate that additional training may be utilized. In some classification implementations, the discrepancy signal may be used to indicate occurrence of novel (not yet learned) objects in the sensory input and/or indicate continuation of training to recognize said objects.
Public/Granted literature
- US20150148953A1 DISCREPANCY DETECTION APPARATUS AND METHODS FOR MACHINE LEARNING Public/Granted day:2015-05-28
Information query
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