PATENT CLAIM ANALYSIS

Application Number: 15995575
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["701", "026000"]

Abstract:
A cleaning robot is provided. The cleaning robot includes a distance measuring sensor configured to measure distance information to an object located outside the cleaning robot, a memory configured to store a shape of the object, the distance information, and a plurality of commands based on the distance information to the object which is measured through the distance measuring sensor, and a processor configured to, when the cleaning robot is operated, estimate a type of the object by applying the shape of the object and the distance information stored in the memory to a learning network model configured to estimate a type of the object, and when the object is in a type that the object is to be avoided, re-set a driving route of the cleaning robot, and when the type of the object is an object to be driven, perform the commands which are set to maintain a driving route of the cleaning robot in progress, wherein the learning network model which is configured to estimate the type of the object is a learning network model which learns using a shape of the object, distance information to the object, and information of a type of the object.

Claim (Index 2):
The cleaning robot of  claim 1 , wherein the processor is further configured to estimate a type of the object according to operation based on a connection relation among a plurality of network nodes constituting the learning network model and each weight of the plurality of network nodes.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 94.0
- Lexical Diversity: 3.5082
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15077684', '14510487', '15505574', '14943788', '14622613']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4113684364592984
- 35 USC 102 Novelty (BERT): 0.4749325268204832
- Combined Prediction Score: 0.4177248454954169
- Mean Citation Score: 174.18521600000005
- Max Citation Score: 180.64528
- Similarity Product: 140.43697079907415

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