PATENT CLAIM ANALYSIS

Application Number: 15995702
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["700", "253000"]

Abstract:
A machine learning device of a controller observes data on a movement speed of each motor of a robot and an adjustment amount of the movement speed, a target speed of a tip end of the robot, and a movement path proximate to the tip end of the robot, as state variables expressing a current state of an environment, and acquires determination data indicating an appropriateness determination result of the movement speed of the tip end of the robot. Then, the machine learning device learns the target speed data, the movement speed data, and the movement path data in association with the adjustment amount of the movement speed of each of the motors of the robot by using the observed state variables and the acquired determination data.

Claim (Index 7):
The controller according to  claim 1 , wherein\n the machine learning device exists in a cloud server.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 94.0
- Lexical Diversity: 2.77551
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15995384', '15949572', '15936490', '15268665', '15216970']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3986589200899879
- 35 USC 102 Novelty (BERT): 0.51616841739369
- Combined Prediction Score: 0.4104098698203582
- Mean Citation Score: 231.263294
- Max Citation Score: 323.3225700000001
- Similarity Product: 281.37980679684

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

Dataset: test