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 15):
A force-torque sensor for capturing forces and torques in a robotic unit, comprising 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, wherein the carrier body is provided, in the region of at least one connection disk on an inner side facing the other connection disk, with a supporting arrangement on which at least one printed circuit board arrangement provided with electronic components can be fixed in a manner oriented edgeways.

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): 0.6963849132194951
- 35 USC 102 Novelty (BERT): 0.4859895452182535
- Combined Prediction Score: 0.675345376419371
- Mean Citation Score: 199.040158
- Max Citation Score: 229.50345
- Similarity Product: 176.12243095378875

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

Dataset: test