Auris Health, Inc.

Zoox, Inc.

David Burdick Berman

Elif Ayvali

Christopher K Sramek

David Paul Noonan

Subashini Srinivasan

Brian Matthew Patenaude

Prasanth Jeevan

Hedyeh Rafii-Tari

Francesco Papi

Menglong Ye

Guillermo Duenas Arana

Nicolas E Robert

Bulat Ibragimov

Derek Adams

Michael Carsten Bosse

Brice Rebsamen

Daniel Miller

Richard Martin Murray

Soroush Dean Khadem

Anne-Claire Elisabeth Marie Le Henaff

Anne-Claire Elisabeth Marie Le Hénaff

A method of localizing a target anatomy involves advancing a ureteroscope to a target calyx of a kidney of a patient through at least a portion of a urinary tract of the patient, determining a positional offset between one or more position sensors associated with the ureteroscope and a target papilla of the kidney that is at least partially exposed within the target calyx, and determining a percutaneous access target based at least in part on one or more of a present position of the one or more position sensors or the positional offset.

Endoscopic anatomical feature tracking

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

Certain aspects relate to systems with robotically controllable field generators and applications thereof. A robotic medical system may include a robotic arm coupled to an electromagnetic (EM) field generator configured to generate an EM field, and the first robotic arm may be configured to move the EM field generator. The medical system may also include a medical instrument configured for insertion into a patient. The medical instrument may comprise an EM sensor and one or more processors. The processors may: determine a position of the EM sensor within the EM field; and adjust a position of the EM field generator by commanding movement of the first robotic arm based on the determined position of the EM sensor.

Robotically controllable field generators for tracking an medical instrument

Provided are systems and methods for registration of location sensors. In one aspect, a system includes an instrument and a processor configured to provide a first set of commands to drive the instrument along a first branch of the luminal network, the first branch being outside a path to a target within a model. The processor is also configured to track a set of one or more registration parameters during the driving of the instrument along the first branch and determine that the set of registration parameters satisfy a registration criterion. The processor is further configured to determine a registration between a location sensor coordinate system and a model coordinate system based on location data received from a set of location sensors during the driving of the instrument along the first branch and a second branch.

Systems and methods for registration of location sensors

Certain aspects relate to systems with robotically controllable field generators and applications thereof. For example, a robotic medical system may include a first robotic arm that is configured to couple to an electromagnetic (EM) field generator. The first robotic arm be capable of moving the EM field generator. The robotic medical system may also include one or more processors. The processors may determine an EM position of an EM sensor within the EM field in an EM coordinate frame associated with the EM field generator. The processors also determine a position of the EM field generator in a robotic coordinate frame associated with the first robotic arm. The processors determine a registration between the EM coordinate frame and the robotic coordinate frame based on the position of the EM field generator. Based on the registration, the processors may determine a position of the EM sensor in the robotic coordinate frame.

Robotically controllable field generators for registering multiple coordinate frames

Certain aspects relate to systems with robotically controllable field generators and applications thereof. In one application, a robotic medical system, comprising a first robotic arm coupled to an electromagnetic (EM) field generator configured to generate an EM field, an EM sensor, and a processor. The processor may be configured to transmit a command to the first robotic arm to cause movement of the EM field generator along a robotic trajectory while the EM sensor remains at a location. An EM sensor trajectory of the EM sensor within the EM field corresponding to a period of time in which the EM field generator moved along the robotic trajectory may be detected. The robotic trajectory and the EM sensor trajectory may be analyzed to determine a difference between the robotic trajectory and the EM sensor trajectory; and EM distortion at the location may be detected comparing the difference and a threshold.

Robotically controllable field generators for detecting distortions

Systems and methods for electromagnetic field generator alignment are disclosed. In one aspect, the system includes an electromagnetic (EM) sensor configured to generate, when positioned in a working volume of the EM field, one or more EM sensor signals based on detection of the EM field, the EM sensor configured for placement on a patient. The system may also include a processor and a memory storing computer-executable instructions to cause the processor to: determine a position of the EM sensor with respect to the field generator based on the one or more EM sensor signals, encode a representation of the position of the EM sensor with respect to the working volume of the EM field, and provide the encoded representation of the position to a display configured to render encoded data.

Electromagnetic field generator alignment

Certain aspects relate to a medical system that includes a robotically controllable field generator and an instrument guide. The instrument guide may guide a percutaneously insertable instrument along an insertion axis. The instrument guide may also be positioned on an electromagnetic (EM) field generator, where the EM field generator can generate an EM field. A first robotic arm may be coupled to the EM field generator and it may move the EM field generator and the instrument guide. The system then determines: an EM target positioned within a patient, and a registration that maps positions within an EM coordinate frame associated with the EM field to positions within a robotic coordinate frame. The system may also determine, based on the registration, a position of the EM target within the robotic coordinate frame. Based on the position of the EM target within the robotic coordinate frame, move the first robotic arm may move to align the insertion axis of the instrument guide with the EM target.

Robotically controllable field generators for aligning a guide with a target

Processes of localizing target papillas of renal anatomy involve advancing a ureteroscope to a target calyx of a kidney of a patient through at least a portion of a urinary tract of the patient, determining a positional offset between one or more position sensors associated with the ureteroscope and a target papilla of the kidney that is at least partially exposed within the target calyx, and determining a percutaneous access target based at least in part on one or more of a present position of the one or more position sensors and the offset.

Target anatomical feature localization

Systems and methods for electromagnetic distortion detection are disclosed. In one aspect, the system includes an electromagnetic (EM) sensor configured to generate an EM sensor signal in response to detection of the EM field. The system may also include a processor configured to calculate a baseline value of a metric indicative of a position of the EM sensor at a first time and calculate an updated value of the metric during a time period after the first time. The processor may be further configured to determine that a difference between the updated value and the baseline value is greater than a threshold value and determine that the EM field has been distorted in response to the difference being greater than the threshold value.

Electromagnetic distortion detection

Localization error monitoring using vehicle state information is described. A computing system associated with a vehicle may determine a current state of the vehicle, such as a location, position, orientation, velocity, acceleration, or the like. The vehicle computing system may determine one or more metrics associated with the state of the vehicle. The metrics may include a variance associated with the state, a residual associated with a measurement corresponding to the state, or a correction factor applied to correct an input error. The computing system may determine whether the metric exceeds a threshold value. Based on a threshold exceedance, the computing system may determine one or more errors associated with a state of the vehicle. The vehicle computing system may control the vehicle based on the one or more errors.

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Millbrae, CA, United States of America

David Burdick Berman