专利名称：REDUCED DEGREE OF FREEDOM ROBOTIC CONTROLLER APPARATUS AND METHODS
发明人：Jean-Baptiste Passot,Oleg Sinyavskiy,Eugene
Izhikevich
申请号：US15967240
申请日：20180430
公开号：US20180243903A1
公开日：
20180830
专利附图：
摘要：Apparatus and methods for training and controlling of, for instance, robotic devices. In one implementation, a robot may be trained by a user using supervised
learning. The user may be unable to control all degrees of freedom of the robot simultaneously. The user may interface to the robot via a control apparatus configured to select and operate a subset of the robot's complement of actuators. The robot may comprise an adaptive controller comprising a neuron network. The adaptive controller may be configured to generate actuator control commands based on the user input and output of the learning process. Training of the adaptive controller may comprise partial set training. The user may train the adaptive controller to operate first actuator subset. Subsequent to learning to operate the first subset, the adaptive controller may be trained to operate another subset of degrees of freedom based on user input via the control apparatus.
申请人：Brain Corporation
地址：San Diego CA US
国籍：US
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