PATENT CLAIM ANALYSIS

Application Number: 15943083
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["701", "002000"]

Abstract:
A method of operating a mobile robot includes generating a segmentation map defining respective regions of a surface based on occupancy data that is collected by a mobile robot responsive to navigation of the surface, identifying sub-regions of at least one of the respective regions as non-clutter and clutter areas, and computing a coverage pattern based on identification of the sub-regions. The coverage pattern indicates a sequence for navigation of the non-clutter and clutter areas, and is provided to the mobile robot. Responsive to the coverage pattern, the mobile robot sequentially navigates the non-clutter and clutter areas of the at least one of the respective regions of the surface in the sequence indicated by the coverage pattern. Related methods, computing devices, and computer program products are also discussed.

Claim (Index 14):
The method of  claim 13 , wherein the selection indicates a cleaning pattern including one or more directions of travel in the one or more of the respective demarcated regions, and wherein the cleaning mission information instructs the mobile robot to traverse one or more areas of the surface represented by the one or more of the respective demarcated regions based on the cleaning pattern.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 91.0
- Lexical Diversity: 2.22581
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15704814', '15709874', '14956523', '15162756', '15588117']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4772208506052598
- 35 USC 102 Novelty (BERT): 0.5617471903016227
- Combined Prediction Score: 0.4856734845748961
- Mean Citation Score: 297.2933680000001
- Max Citation Score: 493.61487
- Similarity Product: 358.8081691226685

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