PATENT CLAIM ANALYSIS

Application Number: 15750637
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-01
Patent Classification: ["073", "862044"]

Abstract:
A force-torque sensor for capturing forces and torques in a robotic unit, including a one-part carrier body which has a cylindrical basic shape and is provided with two connection disks parallel to one another and at least three bridge elements which connect the connection disks to one another and are each assigned at least one measuring point, each bridge element having a central cylindrical bore as a measuring point. Each bridge element is provided, on its opposite outer edges, with a respective concave recess at which a further measuring point is respectively provided.

Claim (Index 7):
A printed circuit board arrangement for a force-torque sensor as claimed in  claim 1 , comprising at least one electronic printed circuit board, on which electronic components are arranged, and comprising at least one connection printed circuit board which is connected to the at least one electronic printed circuit board via lines, wherein at least two electronic printed circuit boards are connected to one another and/or at least one connection printed circuit board is connected to at least one electronic printed circuit board via at least one flexible connecting element in which the lines are integrated.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 88.0
- Lexical Diversity: 1.62295
- Patent Class: 73.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15000260', '15401232', '11318275', '14779699', '10368347']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6957151132615276
- 35 USC 102 Novelty (BERT): 0.4893450245537419
- Combined Prediction Score: 0.6750781043907491
- Mean Citation Score: 199.040158
- Max Citation Score: 229.50345
- Similarity Product: 169.15770581568182

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

Dataset: test