Apparatus and methods for operating robotic devices using selective state space training
AssigneeBrain Corporation
InventorsJean-Baptiste Passot, Oleg Sinyavskiy, Eugene Izhikevich
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AssigneeBrain Corporation
InventorsJean-Baptiste Passot, Oleg Sinyavskiy, Eugene Izhikevich
Estimating the term…
Apparatus and methods for training and controlling of e.g., robotic devices. In one implementation, a robot may be utilized to perform a target task characterized by a target trajectory. The robot may be trained by a user using supervised learning. The user may interface to the robot, such as via a control apparatus configured to provide a teaching signal to the robot. The robot may comprise an adaptive controller comprising a neuron network, which may be configured to generate actuator control commands based on the user input and output of the learning process. During one or more learning trials, the controller may be trained to navigate a portion of the target trajectory. Individual trajectory portions may be trained during separate training trials. Some portions may be associated with robot executing complex actions and may require additional training trials and/or more dense training input compared to simpler trajectory actions.
An adaptive controller apparatus comprising a plurality of computer readable instructions configured to, when executed, cause a performance of a target task by a robot, the computer readable instructions configured to cause the adaptive controller apparatus to:
A robotic apparatus comprising:
A method of operating a robotic controller apparatus, the robotic controller apparatus configured to cause a robot to perform a target task, the method comprising:
Dependencies are inferred from the claim text.