PATENT CLAIM ANALYSIS

Application Number: 16068217
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["701", "532000"]

Abstract:
A method for creating an environment map for an automatically moveable processing device, in particular a cleaning robot, wherein a detection device of the processing device detects obstacles in the environment of the processing device and an environment map of the processing device is created based on detected obstacle data of the obstacles. At least one additional sensor detects obstacles in the environment of the processing device, wherein the distance of the additional sensor to the processing device is changed and wherein the obstacle data detected by the additional sensor is combined in the environment map with the obstacle data detected by the detection device of the processing device. In addition to the method for creating an environment map for an independently moveable processing device, the invention also relates to a system for creating an environment map for an independently moveable processing device.

Claim (Index 5):
The method according to  claim 4 , wherein the distance (a) from the additional sensor ( 6 ) is measured, while the additional sensor ( 6 ) is shifted from the location of the detection device ( 2 ) to a desired position, wherein the distance (a) is determined in particular by means of an acceleration sensor of the additional sensor ( 6 ).

Metadata:
- Claim Count in Document: 5.0
- Percentile: 95.0
- Lexical Diversity: 3.0
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15564525', '12045449', '10941813', '14635800', '15550258']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4489606417637681
- 35 USC 102 Novelty (BERT): 0.4898350167759794
- Combined Prediction Score: 0.4530480792649892
- Mean Citation Score: 165.952098
- Max Citation Score: 186.93837
- Similarity Product: 119.51417708016156

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