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 12):
The method of  claim 11 , further comprising:\n receiving, via the user interface, a selection of one of the respective demarcated regions of the segmentation map, wherein the respective demarcated regions correspond to respective rooms, wherein displaying the image of the segmentation map comprises displaying room-based statistical information for the one of the respective demarcated regions responsive to the selection thereof.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 91.0
- Lexical Diversity: 2.22581
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15704814', '15709874', '14956523', '15162756', '15588117']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4470276751247257
- 35 USC 102 Novelty (BERT): 0.5609924276000534
- Combined Prediction Score: 0.4584241503722585
- Mean Citation Score: 297.2933680000001
- Max Citation Score: 493.61487
- Similarity Product: 366.80393859542727

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