Zoox, Inc.

Austin Hendrix

Moritz Boecker

Collin MacGregor

Robert Edward Somers

Andrew Lewis King

Thomas Michael Flanagan

Matthew Daniel Lopez

Udayan Pushparaj Karmarkar

Sang Chul Kim

Ian Chang Hartwig

Zachary Grant Church

Eric Yu-Chieh Shyu

Jonathon Patrick Klemens

Techniques for determining whether to limit an operation of a vehicle while operating in a manually assisted mode of operation are described herein. A vehicle computing system can monitor components of the vehicle and identify a fault associated with a component. The vehicle computing system can determine whether the fault is associated with a manual operation of the vehicle. Based on a determination that the fault is not associated with the manual operation of the vehicle (e.g., fault associated with an autonomous control component), the vehicle computing system can override the fault and enable continued operation of the vehicle in the manually assisted mode of operation. Based on a determination that the fault is associated with the manual operation of the vehicle, the vehicle computing system can cause the vehicle to cease operating.

Manual operation vehicle constraints

Techniques for capturing and recording processor events and scheduler data in a production system on a per processing resource basis are discussed herein. In some examples, a process metric collection component may be associated with the scheduler and the processing resource such that the process metric collection component can capture real time data associated with the processes or threads both executed by the processing resource and waiting to execute on the processing resource. The captured data may be used by the system to monitor operations.

Continuous tracing and metric collection system

There is provided a network comprising a network switch comprising a pre-configured routing table and a first physical port coupled to an endpoint sensor device initiated with an initial network address. One or more processors are coupled to a third physical port of the network switch and are configured to: transmit configuration data for the endpoint sensor device to the third physical port via a first virtual area network. The first virtual area network is associated by the pre-configured routing table with the first physical port and a second virtual area network is associated with a second physical port of the network switch. A command to the endpoint sensor to use a different network address is transmitted by the network switch via the first physical port based at least in part on receiving the configuration data.

Configuring a network

An electrical system may include a power circuit configured to provide a power output, first and second batteries, and first and second switches configured to connect and disconnect the first and second batteries, respectively, to the power output in parallel with one another. The electrical system may also include a controller electrically connected to the first and the second switches, and configured to control operation of the first switch and/or the second switch. The electrical system may also include a load predictor in communication with the controller and configured to predict power demands of an electric load on the power circuit and send a signal indicative of the predicted power demands to the controller, which may activate the first switch and/or the second switch to connect the first battery and/or the second battery to the power output based at least in part on the signal indicative of the predicted load.

Smart battery circuit

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Redwood City, CA, United States of America

Austin Hendrix