PATENT CLAIM ANALYSIS

Application Number: 16048737
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-02
Patent Classification: ["701", "002000"]

Abstract:
An autonomous robot vehicle in accordance with aspects of the present disclosure includes a land vehicle conveyance system, a sensor system configured to capture information including surrounding environment information and/or vehicle subsystem information, a communication system configured to communicate with a remote human operator management system, at least one processor, and a memory storing instructions. The instructions, when executed by the processor(s), cause the autonomous robot land vehicle to, autonomously, determine based on the captured information to request a remote human operator, and communicate a request to the remote human operator management system for a remote human operator to assume control of the land vehicle conveyance system, where the request includes at least a portion of the captured information.

Claim (Index 20):
The system of  claim 19 , wherein the experience information includes an amount of experience, and wherein in prioritizing assignment of the available remote human operators to remote autonomous land vehicles having highest risk ratings, the instructions, when executed by the at least one processor, cause the system to prefer available remote human operators who have higher amounts of experience.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 95.0
- Lexical Diversity: 2.16129
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16047598', '14683665', '14713201', '15409213', '15912311']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4387975050175874
- 35 USC 102 Novelty (BERT): 0.515512871390176
- Combined Prediction Score: 0.4464690416548462
- Mean Citation Score: 216.03589
- Max Citation Score: 297.28217
- Similarity Product: 178.13002633526446

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