Apparatus and methods for training path navigation by robots
First Claim
1. A method of determining a control signal for a robot, the method being performed by a special purpose computing platform having one or more processors executing instructions stored by a non-transitory computer-readable storage medium, the method comprising:
- receiving first input features of a first type and second input features of a second type;
determining a subset of features by randomly selecting at least one of the first input features and at least one of the second input features;
comparing individual features of the subset to corresponding features of a plurality of training feature sets, individual ones of the plurality of training feature sets comprising a number of training features, the number being equal to or greater than a quantity of features within the subset of features;
based on the comparison, determining a similarity measure for a given training set of the plurality of training feature sets, the similarity measure characterizing a similarity between individual features of the subset and one or more features of the given training set;
responsive to the similarity measure breaching a threshold, selecting one or more training sets from the plurality of training feature sets;
determining one or more potential control signals for the robot, individual ones of the one or more potential control signals being associated with a corresponding training set of the plurality of training feature sets; and
determining the control signal based on a transformation obtained from the one or more potential control signals;
wherein;
individual ones of the plurality of training feature sets comprise at least one feature of the first type and at least one feature of the second type;
the individual ones of the plurality of training feature sets are obtained during a training operation of the robot, the training operation being performed responsive to receiving a training signal from the robot; and
individual ones of the one or more potential control signals are determined based on the training signal and the one or more features of the given training set.
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Accused Products
Abstract
An apparatus and methods for training and/or operating a robotic device to follow a trajectory. A robotic vehicle may utilize a camera and stores the sequence of images of a visual scene seen when following a trajectory during training in an ordered buffer. Motor commands associated with a given image may be stored. During autonomous operation, an acquired image may be compared with one or more images from the training buffer in order to determine the most likely match. An evaluation may be performed in order to determine if the image may correspond to a shifted (e.g., left/right) version of a stored image as previously observed. If the new image is shifted left, right turn command may be issued. If the new image is shifted right then left turn command may be issued.
352 Citations
20 Claims
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1. A method of determining a control signal for a robot, the method being performed by a special purpose computing platform having one or more processors executing instructions stored by a non-transitory computer-readable storage medium, the method comprising:
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receiving first input features of a first type and second input features of a second type; determining a subset of features by randomly selecting at least one of the first input features and at least one of the second input features; comparing individual features of the subset to corresponding features of a plurality of training feature sets, individual ones of the plurality of training feature sets comprising a number of training features, the number being equal to or greater than a quantity of features within the subset of features; based on the comparison, determining a similarity measure for a given training set of the plurality of training feature sets, the similarity measure characterizing a similarity between individual features of the subset and one or more features of the given training set; responsive to the similarity measure breaching a threshold, selecting one or more training sets from the plurality of training feature sets; determining one or more potential control signals for the robot, individual ones of the one or more potential control signals being associated with a corresponding training set of the plurality of training feature sets; and determining the control signal based on a transformation obtained from the one or more potential control signals; wherein; individual ones of the plurality of training feature sets comprise at least one feature of the first type and at least one feature of the second type; the individual ones of the plurality of training feature sets are obtained during a training operation of the robot, the training operation being performed responsive to receiving a training signal from the robot; and individual ones of the one or more potential control signals are determined based on the training signal and the one or more features of the given training set. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A self-contained robotic apparatus, the apparatus comprising:
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a platform comprising a motor; a first sensor component configured to provide a signal configured to convey a video frame comprising a plurality of pixels; a second sensor component configured to provide a binary sensor signal characterized by one of two states; a memory component configured to store training sets, a given training set comprising an instance of the video frame, an instance of the binary sensor signal, and an instance of a motor control indication configured to cause the apparatus to execute an action; and one or more physical processors configured to operate a random k-nearest neighbors learning process to determine a motor control indication, the one or more physical processors configured to; determine a subset of features comprising the binary sensor signal and a set of pixels randomly selected from the plurality of pixels; scale individual pixels of the set of pixels by a scaling factor; scale features of the subset of features by a scaling factor; compare individual scaled features of the subset to corresponding features of individual ones of the training sets; based on the comparison, determine a similarity measure for a given training set, the similarity measure characterizing a similarity between the individual scaled features of the subset and features of the given training set; based on an evaluation of the similarity measure, select one or more of the training sets; determine one or more potential control signals for the robot, individual ones of the one or more potential control signals being associated with a corresponding training set; and determine the control signal based on a transformation obtained from the one or more potential control signals; wherein; individual ones of the plurality of training feature sets comprise at least one feature of the first type and at least one feature of the second type; individual ones of the plurality of training feature sets are obtained during training operation of the robot, the training operation being performed responsive to receiving a training signal from the robot; and individual ones of the one or more potential control signals are determined based on the training signal and the features of the given training set. - View Dependent Claims (13, 14, 15, 16)
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17. A non-transitory computer-readable storage medium having instructions embodied thereon, the instructions being executable by a processor to selecting an outcome of a plurality of outcomes by at least:
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determine a history of sensory input; apply a transformation to an instance of the sensory input, the transformation being configured to produce a scaled input based on an analysis of the history; determine a set of features comprising features of a first type randomly selected from the scaled input and at least one feature of a second type; compare individual features of the set of features to corresponding features of a plurality of training feature sets, individual ones of the plurality of training feature sets comprising a number of training features, the number being equal to or greater than the quantity of features within the set of features; based on the comparison, determine a similarity measure for a given training set of the plurality of training feature sets, the similarity measure characterizing a similarity between features of a subset and features of the given training set; responsive to the similarity measure breaching a threshold, select one or more training sets from the plurality of training sets; determine one or more potential control signals for the robot, individual ones of the one or more potential control signals being associated with a corresponding training set of the plurality of training sets; and determine the control signal based on a transformation obtained from the one or more potential control signals; wherein; individual ones of the plurality of training feature sets comprise at least one feature of the first type and at least one feature of the second type; individual ones of the plurality of training feature sets are obtained during training operation of the robot, the training operation being performed responsive to receiving a training signal from the robot; and individual ones of the one or more potential control signals being determined based on the training signal and the features of the given training set. - View Dependent Claims (18, 19, 20)
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Specification