Trainable modular robotic methods

US9364950B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9364950-B2
Application numberUS-201414209578-A
CountryUS
Kind codeB2
Filing dateMar 13, 2014
Priority dateMar 13, 2014
Publication dateJun 14, 2016
Grant dateJun 14, 2016

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Abstract

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Apparatus and methods for a modular robotic device with artificial intelligence that is receptive to training controls. In one implementation, modular robotic device architecture may be used to provide all or most high cost components in an autonomy module that is separate from the robotic body. The autonomy module may comprise controller, power, actuators that may be connected to controllable elements of the robotic body. The controller may position limbs of the toy in a target position. A user may utilize haptic training approach in order to enable the robotic toy to perform target action(s). Modular configuration of the disclosure enables users to replace one toy body (e.g., the bear) with another (e.g., a giraffe) while using hardware provided by the autonomy module. Modular architecture may enable users to purchase a single AM for use with multiple robotic bodies, thereby reducing the overall cost of ownership.

First claim

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What is claimed: 1. A method of animating a robotic apparatus having motive freedom in at least one dimension but no indigenous motive source, comprising: mating a control module comprising a motive source, at least one haptic learning apparatus, and at least one logic configured to execute a behavioral algorithm to the robotic apparatus such that the motive source is mechanically coupled to a corresponding apparatus of the motive freedom; and causing the motive source to actuat…

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What does patent US9364950B2 cover?
Apparatus and methods for a modular robotic device with artificial intelligence that is receptive to training controls. In one implementation, modular robotic device architecture may be used to provide all or most high cost components in an autonomy module that is separate from the robotic body. The autonomy module may comprise controller, power, actuators that may be connected to controllable …
Who is the assignee on this patent?
Brain Corp
What technology area does this patent fall under?
Primary CPC classification B25J9/0081. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Jun 14 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).