PATENT CLAIM ANALYSIS

Application Number: 15892990
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["700", "246000"]

Abstract:
A robot system is provide with a robot control device that includes an operation control unit and a learning control unit. The learning control unit performs a learning control in which a vibration correction amount for correcting a vibration generated at a control target portion of a robot is calculated and the vibration correction amount is employed in the operation command at a next time. The learning control unit includes a plurality of learning control parts for calculating the vibration correction amount and a selection unit that selects one of the plurality of learning control parts on the basis of operation information of the robot when the robot is made to be operated by an operation program that is a target of the learning control.

Claim (Index 5):
The learning control method of a robot according to  claim 4 , wherein\n the step of selecting one from among the plurality of learning control parts includes a step of specifying one from among the plurality of use ranges on the basis of the information of the position of the tip end portion and the information of the load, and selecting the learning control part corresponding to a specified use range among the plurality of learning control parts.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 88.0
- Lexical Diversity: 2.41509
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13469725', '15860226', '13029550', '15792832', '15405190']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3920049700495014
- 35 USC 102 Novelty (BERT): 0.4888897609001429
- Combined Prediction Score: 0.4016934491345655
- Mean Citation Score: 185.61282
- Max Citation Score: 196.57632
- Similarity Product: 136.89940230302813

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