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 8):
A machine learning device learning an adjustment amount of a movement speed of each motor of a robot that performs coating of a sealing material, the machine learning device comprising:\n a state observation section that observes, as state variables expressing a current state of an environment, teaching speed adjustment amount data indicating the adjustment amount of the movement speed of each of the motors of the robot, target speed data indicating a target speed of a tip end of the robot, movement speed data indicating the movement speed of each of the motors of the robot, and movement path data indicating a movement path proximate to the tip end of the robot; a determination data acquisition section that acquires determination data indicating an appropriateness determination result of the movement speed of the tip end of the robot; and a learning section that 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 state variables and the determination data.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 94.0
- Lexical Diversity: 2.77551
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15995384', '15949572', '15936490', '15268665', '15216970']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3702591590233517
- 35 USC 102 Novelty (BERT): 0.5184043993304449
- Combined Prediction Score: 0.3850736830540611
- Mean Citation Score: 231.263294
- Max Citation Score: 323.3225700000001
- Similarity Product: 242.523744790966

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

Dataset: test