Invention Grant
- Patent Title: Checkpoint-based tracing for monitoring a robotic system
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Application No.: US16660133Application Date: 2019-10-22
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Publication No.: US11335141B2Publication Date: 2022-05-17
- Inventor: Guillaume Binet , Nicholas J. Meyer , Randall Nortman
- Applicant: Argo AI, LLC
- Applicant Address: US PA Pittsburgh
- Assignee: Argo AI, LLC
- Current Assignee: Argo AI, LLC
- Current Assignee Address: US PA Pittsburgh
- Agency: Fox Rothschild LLP
- Main IPC: G01M17/00
- IPC: G01M17/00 ; G06F7/00 ; G06F19/00 ; G07C5/08 ; G05D1/00 ; G05D1/02 ; G05B23/02

Abstract:
To identify sources of data resulting from an execution flow in a robotic device such as an autonomous vehicle, an operating system receives sensor data from various sensors of the robotic device. For each sensor, the system generates a data log comprising an identifier of a first checkpoint associated with that sensor, as well as a first timestamp. The system performs an execution flow on the sensor data from that sensor. The system updates the data log to include an identifier and timestamp for one or more additional checkpoints during the execution flow. The system then fuses results, uses the fused data as an input for a decision process, and causes a component of the robotic device to take an action in response to an output of the decision process. The system may record the action, an action timestamp and the data logs for each sensor in a memory.
Public/Granted literature
- US20210118251A1 CHECKPOINT-BASED TRACING FOR MONITORING A ROBOTIC SYSTEM Public/Granted day:2021-04-22
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