PATENT CLAIM ANALYSIS

Application Number: 15905705
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "104000"]

Abstract:
A multi layer learning based control system and method for an autonomous vehicle or mobile robot. A mission planning layer, behavior planning layer and motion planning layer each having one or more neural neworks are used to develop an optimal route for the autonomous vehicle or mobile robot, provide a series of functional tasks associated with at least one or more of the neural networks to follow the planned optimal route and develop commands to implement the functional tasks.

Claim (Index 1):
A control system for a vehicle or mobile robot, the control system comprising:\n memory storing computer-readable instructions for a plurality of feed-associated functional layers, each of the plurality of feed-associated functional layers comprising one or more neural networks, each of the one or more neural networks associated with at least one functional task for controlling operation of at least one operable element of the vehicle or the mobile robot; at least one processor in communication with the memory and configured to execute computer instructions of each of the plurality of feed-associated functional layers stored in the memory to cause the at least one processor to:\n provide input data to each one of the one or more neural networks of each functional layer; \n execute each of the one or more neural networks, for each feed-associated functional layer, to generate output data based on the input data for controlling the at least one operable element associated with the functional task associated with each of the one or more neural networks; \n wherein the input data comprises sensor data sensed by a plurality of sensors of the vehicle or mobile robot and output data of at least one neural network of one of the plurality of feed-associated functional layers.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 1.66
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15614489', '10647034', '15224519', '12011982', '13281347']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3205867625558343
- 35 USC 102 Novelty (BERT): 0.4818427765950886
- Combined Prediction Score: 0.3367123639597598
- Mean Citation Score: 174.738948
- Max Citation Score: 184.20718
- Similarity Product: 129.86613568293572

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

Dataset: test