PATENT CLAIM ANALYSIS

Application Number: 16163508
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["348", "135000"]

Abstract:
Provided is a process, including: obtaining, with one or more processors, first depth data, wherein: the first depth data indicates a first distance from a robot at a first position to a surface of, or in, a workspace in which the robot is disposed, the first depth data indicates a first direction in which the first distance is measured, the first depth data indicates the first distance and the first direction in a frame of reference of the robot, and the frame of reference of the robot is different from a frame of reference of the workspace; translating, with one or more processors, the first depth data into translated first depth data that is in the frame of reference of the workspace; and storing, with one or more processors, the translated first depth data in memory.

Claim (Index 2):
The medium of  claim 1 , wherein the operations comprise:\n obtaining, with the one or more processors, second depth data, wherein:\n the second depth data indicates a second distance from the robot at a second position to the surface or another surface of, or in, the workspace, \n the second depth data indicates a second direction in which the second distance is measured, and \n the second depth data indicates the second distance and the second direction in the frame of reference of the robot; \n translating the second depth data into translated second depth data that is in the frame of reference of the workspace; and storing the translated second depth data in memory.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 3.42222
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16163541', '16048179', '14937061', '14314970', '15814880']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6497734715616347
- 35 USC 102 Novelty (BERT): 0.5106987900057361
- Combined Prediction Score: 0.6358660034060448
- Mean Citation Score: 205.507324
- Max Citation Score: 279.9151
- Similarity Product: 203.17036511112448

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