PATENT CLAIM ANALYSIS

Application Number: 15942286
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["700", "095000"]

Abstract:
An automated drywalling system network that include one or more automated drywalling systems that each comprise a robotic arm. The automated drywalling system network can also include one or more drywalling end effectors configured to couple to a distal end of the robotic arms of the one or more automated drywalling systems. The drywalling end effectors can include a drywall hanging end effector; a drywall mudding end effector; a drywalling sanding end effector; and a drywall painting end effector.

Claim (Index 20):
The automated drywalling system network of  claim 14 , wherein instructions are generated for the two or more of drywalling end effectors to perform at least one drywalling task, and\n wherein the instructions to perform the at least one drywalling task are generated based on identified features of a wall assembly identified by a vision system of the automated drywalling system network, and wherein the at least one drywalling task includes one or more of: avoiding identified features including obstacles or openings, changing an amount of material added or removed from a wall assembly based on an identified feature; or selecting an alternative toolpath based on an identified feature.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.2973
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15942158', '15942193', '14292205', '15077199', '12962594']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6943702646138001
- 35 USC 102 Novelty (BERT): 0.5138182746683957
- Combined Prediction Score: 0.6763150656192598
- Mean Citation Score: 202.232356
- Max Citation Score: 345.76392000000016
- Similarity Product: 259.0985065130139

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