PATENT CLAIM ANALYSIS

Application Number: 16014311
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["382", "103000"]

Abstract:
Methods, apparatus, systems, and computer-readable media are provided for delegating object type and/or pose detection to a plurality of “targeted object recognition modules.” In some implementations, a method may be provided that includes: operating an object recognition client to facilitate object recognition for a robot; receiving, by the object recognition client, sensor data indicative of an observed object in an environment; providing, by the object recognition client, to each of a plurality of remotely-hosted targeted object recognition modules, data indicative of the observed object; receiving, by the object recognition client, from one or more of the plurality of targeted object recognition modules, one or more inferences about an object type or pose of the observed object; and determining, by the object recognition client, information about the observed object, such as its object type and/or pose, based on the one or more inferences.

Claim (Index 1):
A method implemented using one or more processors, comprising:\n operating an object recognition client to facilitate object recognition for a robot; receiving, by the object recognition client, sensor data indicative of one or more observed physical objects in a physical environment; providing, by the object recognition client, to one or more online computing devices operating remotely from the one or more processors, data indicative of the one or more observed physical objects; receiving, by the object recognition client, from one or more of the online computing devices, a plurality of inferences about object types of the one or more observed physical objects; determining that two or more of the plurality of inferences relating to a given physical object of the one or more physical objects are in conflict; and disambiguating, by the object recognition client, between the two or more conflicting inferences based on one or more offline resources that are available to the robot locally.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.47761
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15230412', '15640914', '14874419', '15227612', '15592849']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2707204877836849
- 35 USC 102 Novelty (BERT): 0.510630913272345
- Combined Prediction Score: 0.2947115303325509
- Mean Citation Score: 181.86008400000003
- Max Citation Score: 289.8638
- Similarity Product: 239.651473607254

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