PATENT CLAIM ANALYSIS

Application Number: 15901777
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-10
Patent Classification: ["700", "250000"]

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.

Claim (Index 27):
The method of  claim 26 , wherein the determining of the environmental context further comprises:\n generating an environmental context reference data set during training of the robot, wherein movements and learned actions of the robot are associated with an environmental context within the environmental context reference; and referring to the environmental context reference data set when determining the environmental context of the robot.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 1.8125
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14607018', '14588168', '15470629', '14613237', '13918298']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4685090732096718
- 35 USC 102 Novelty (BERT): 0.533621110918134
- Combined Prediction Score: 0.4750202769805179
- Mean Citation Score: 347.896894
- Max Citation Score: 374.54263
- Similarity Product: 247.7518373860091

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test