PATENT CLAIM ANALYSIS

Application Number: 15942193
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["700", "095000"]

Abstract:
An automated drywalling system for cutting and/or hanging drywall that includes one or more vision systems and a computing device executing a computational planner. The computational planner obtains target wall assembly data from the one or more vision systems, the target wall assembly data including information regarding a configuration of a target wall assembly including a plurality of studs that define a portion of the target wall assembly; and generates a plan for a configuration of a plurality of drywall pieces to be disposed on studs of the target wall assembly based on the target wall assembly data.

Claim (Index 15):
The automated drywalling system of  claim 11 , wherein the computational planner further:\n generates instructions for driving a cutting system to perform at least one cutting task that includes the cutting system marking one or more pieces of drywall to generate markings that are used to cut the pieces of drywall to have a configuration based on the generated plan for the configuration of the plurality of drywall pieces to be disposed on studs of the target wall assembly; and drives the cutting system to perform the at least one cutting task to generate the markings on the pieces of drywall.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 90.0
- Lexical Diversity: 2.0
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15942158', '15942286', '15183850', '13840216', '15080069']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.38423094131373
- 35 USC 102 Novelty (BERT): 0.5260875935975069
- Combined Prediction Score: 0.3984166065421077
- Mean Citation Score: 202.8363358
- Max Citation Score: 354.87878
- Similarity Product: 221.92553862143643

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