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 10):
The system of  claim 6  wherein at least one of the one or more neural networks is associated with controlling a vehicle subsystem to execute at least one of the functional tasks of avoiding an obstacle, finding a local path, or controlling the speed, direction or position of the vehicle or the mobile robot.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 1.66
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15614489', '10647034', '15224519', '12011982', '13281347']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3440446960061233
- 35 USC 102 Novelty (BERT): 0.4968940914643867
- Combined Prediction Score: 0.3593296355519497
- Mean Citation Score: 174.738948
- Max Citation Score: 184.20718
- Similarity Product: 113.74613431257367

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