PATENT CLAIM ANALYSIS

Application Number: 15927160
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["108", "054100"]

Abstract:
A modular reconfigurable vehicle assembly pallet system and method are disclosed. In one example, a plurality of modular assembly plates are assembled having vehicle locators positioned specifically for a particular model vehicle. The assembled vehicle-specific plates are easily installed on a universal pallet positioned along an assembly line in an assembly sequence. The vehicle-specific modular plates can be quickly interchanged on the assembly pallet to thereby reconfigure the assembly pallet to coordinate with changing vehicle build assembly sequences.

Claim (Index 19):
The method of  claim 17  wherein transferring and removable engaging one of the first or the second modular plates to the universal pallet comprises:\n engaging a programmable robot end effector to the first or the second modular plate; and \n engaging a guide connected to the end effector with a cam roller connected to the second receiver, the guide moving the second receiver arm from the second engaged position to the first disengaged positioned permitting installation and removal of the first or the second modular plate from the pallet without physical interference by the second receiver arm.

Metadata:
- Claim Count in Document: 36.0
- Percentile: 90.0
- Lexical Diversity: 1.59615
- Patent Class: 108.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14700396', '13219755', '15333546', '14968126', '13633461']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7286819105379801
- 35 USC 102 Novelty (BERT): 0.5070223002553963
- Combined Prediction Score: 0.7065159495097217
- Mean Citation Score: 204.692102
- Max Citation Score: 229.37003
- Similarity Product: 169.36057824284853

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