California Institute of Technology

Zoox, Inc.

Richard Martin Murray

Zachary Z Sun

Francesco Papi

David Burdick Berman

Daniel Miller

Guillermo Duenas Arana

Roland Brockers

Soroush Dean Khadem

Larry H Matthies

Anthony T S Fragoso

Anne-Claire Elisabeth Marie Le Henaff

Simon Yeung

Vipul Singhal

An evaluation computing system may implement techniques to validate a vehicle controller, such as based on an update thereto. The evaluation computing system may access data associated with an operation of the vehicle in an environment as controlled by the controller. The evaluation computing system may modify a portion of the data representative of a fault associated with the controller. The evaluation computing system may run a simulation utilizing modified log data to determine whether the controller detects and/or mitigates the fault within a threshold time. Based on a determination that the controller does not detect and/or mitigate the fault within the threshold time, the evaluation computing system may determine an error associated with the controller. Based on a determination that the controller detects and/or mitigates the fault within the threshold time, the evaluation computing system may validate the controller.

Fault detection in vehicle control systems

Provided herein are methods and arrangements and related cell-free biomolecular breadboards configured to design, build, implement, debug, and/or test a genetic circuit to be operated in a target environment, by testing in a cell-free system under conditions of the target environment, molecular components of the genetic circuit and/or combinations thereof to select the molecular components and/or combinations thereof of a genetic circuit operative in the target environment.

Cell-free biomolecular breadboards and related methods and arrangements

A method, device, framework, and system provide the ability to control an unmanned aerial vehicle (UAV) to avoid obstacle collision. Range data of a real-world scene is acquired using range sensors (that provide depth data to visible objects). The range data is combined into an egospace representation (consisting of pixels in egospace). An apparent size of each of the visible objects is expanded based on a dimension of the UAV. An assigned destination in the real world scene based on world space is received and transformed into egospace coordinates in egospace. A trackable path from the UAV to the assigned destination through egospace that avoids collision with the visible objects (based on the expanded apparent sizes of each of the visible objects) is generated. Inputs that control the UAV to follow the trackable path are identified.

Controlling unmanned aerial vehicles to avoid obstacle collision

Provided herein are methods and compositions for rapid assembly of genetic modules, as well as seamless transition from in vitro to in vivo testing of genetic constructs.

Methods and compositions for rapid assembly of genetic modules

A compressor is disclosed having a characteristic modifier, such as air injection, adapted to modify an operating characteristic of the compressor in order to reduce the bandwidth and rate limit requirements of the compressor. The compressor includes an actuator, such as a bleed valve, whose bandwidth and rate limit parameters meet the corresponding reduced requirements of the compressor. The actuator is adapted to stabilize the compressor with respect to a likely condition in the compressor which would tend to make the compressor operate in a less stable manner. This makes it possible to stabilize the compressor using a more readily available actuator having lower bandwidth and rate limit parameters.

Actuator bandwidth and rate limit reduction for control of compressor

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Pasadena, CA, United States of America

Richard Martin Murray