PATENT CLAIM ANALYSIS

Application Number: 15860928
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["701", "301000"]

Abstract:
Various embodiments include methods, devices, and robotic vehicle processing devices implementing such methods for automatically adjusting the minimum distance that a robotic vehicle is permitted to approach an object by a collision avoidance system (the “proximity threshold”) to compensate for unpredictability in environmental or other conditions that may compromise control or navigation of the robotic vehicle, and/or to accommodate movement unpredictability of the object. Some embodiments enable dynamic adjustments to the proximity threshold to compensate for changes in environmental and other conditions. Some embodiments include path planning that takes into account unpredictability in environmental or other conditions plus movement unpredictability of objects in the environment.

Claim (Index 11):
A robotic vehicle, comprising:\n one or more sensors configured to detect an object in a vicinity of the robotic vehicle; and a processor coupled to the one or more sensors and configured with processor-executable instructions to:\n monitor environmental or other conditions affecting predictability of control or navigation of the robotic vehicle; and \n adjust a proximity threshold used in a collision avoidance system consistent with an effect on the control or navigation of the robotic vehicle of environmental or other conditions in response to determining that control or navigation of the robotic vehicle is or could be compromised by the environmental or other conditions.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 1.76923
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15274211', '15463955', '14321736', '14814159', '14638255']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.398573695181991
- 35 USC 102 Novelty (BERT): 0.475774081232641
- Combined Prediction Score: 0.4062937337870561
- Mean Citation Score: 200.48695
- Max Citation Score: 204.29048
- Similarity Product: 154.67045047929287

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test