PATENT CLAIM ANALYSIS

Application Number: 16406505
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["700", "259000"]

Abstract:
A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

Claim (Index 9):
The robotic fruit picking system of  claim 1  in which the end effector uses at least the following phases:\n (i) a selection phase during which the target fruit is physically partitioned or separated from the plant or tree and/or other fruits growing on the plant/tree and/or growing infrastructure and \n (ii) a severing phase during which the target fruit is permanently severed from the plant/tree.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 100.0
- Lexical Diversity: 1.92405
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11009909', '14849729', '12945871', '11354548', '10234674']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4328627769060179
- 35 USC 102 Novelty (BERT): 0.5076676242492436
- Combined Prediction Score: 0.4403432616403404
- Mean Citation Score: 207.382826
- Max Citation Score: 252.74472000000003
- Similarity Product: 151.33032743396762

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