PATENT CLAIM ANALYSIS

Application Number: 15863050
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["701", "025000"]

Abstract:
A hybrid modular storage fetching system with a robot execution system (REX) is described. In an example implementation, a REX may induct, into the hybrid modular storage fetching system, an order identifying items to be fulfilled by automated guided vehicles (AGVs) at an order fulfillment facility. The REX may generate at task list including tasks for a first and second AGV, instruct the first AGV to retrieve a first item in the order from a first storage area based on the task list and deliver the first item to a pick-cell station. The REX may also instruct the second AGV to retrieve a second item of the order from a second storage area and deliver the second item to the pick-cell station. The REX may communicate with other components of the hybrid modular storage fetching system to coordinate the paths of the AGVs to fulfill the order.

Claim (Index 5):
The method of  claim 1 , further comprising:\n receiving, by the REX, a confirmation message indicating that the first item has been picked from the first storage area to the cart AGV; and updating, by the REX, the task list to indicate that the first item has been picked from the first storage area to the cart AGV.

Metadata:
- Claim Count in Document: 33.0
- Percentile: 86.0
- Lexical Diversity: 2.31884
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15863017', '15258079', '15814564', '15280492', '11078962']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5300478272852942
- 35 USC 102 Novelty (BERT): 0.5275676335265784
- Combined Prediction Score: 0.5297998079094226
- Mean Citation Score: 256.13437000000005
- Max Citation Score: 384.42667
- Similarity Product: 264.774681937564

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