PATENT CLAIM ANALYSIS

Application Number: 15957651
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["704", "009000"]

Abstract:
A system includes a robot having a module that includes a function for mapping natural language commands of varying complexities to reward functions at different levels of abstraction within a hierarchical planning framework, the function including using a deep neural network language model that learns how to map the natural language commands to reward functions at an appropriate level of the hierarchical planning framework.

Claim (Index 3):
The system of  claim 2  wherein the function comprises using a deep neural network language model that learns how to map the natural language commands to reward functions at an appropriate level of the hierarchical planning framework.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 91.0
- Lexical Diversity: 1.53488
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15698614', '15455126', '15408526', '15859698', '15499832']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2615815317377564
- 35 USC 102 Novelty (BERT): 0.4600833924627266
- Combined Prediction Score: 0.2814317178102534
- Mean Citation Score: 131.193871
- Max Citation Score: 138.24991
- Similarity Product: 105.84249481562256

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

Dataset: test