Auris Health, Inc.

Moon Surgical Sas

Other

Auris Surgical Robotics, Inc.

Ritwik Ummalaneni

David Paul Noonan

Hedyeh Rafii-Tari

Prasanth Jeevan

Ehsan Basafa

Jeffery B Alvarez

Nicolas Linard

Jad Fayad

Chauncey F Graetzel

Menglong Ye

Subashini Srinivasan

David S Mintz

David Michael Schummers

Victoria Cheng-Tan Wu

Allen Jiang

Jesus Mago

Yuriy Malinin

Neal Tanner

Simon Wei Quan Lim

Jeffery Byron Alvarez

Co-manipulation robotic systems are described herein that may be used for assisting with laparoscopic surgical procedures. The co-manipulation robotic systems allow a surgeon to use commercially-available surgical tools while providing benefits associated with surgical robotics. Advantageously, the surgical tools may be seamlessly coupled to the robot arms using a disposable coupler while the reusable portions of the robot arm remain in a sterile drape. Further, the co-manipulation robotic system may operate in multiple modes to enhance usability and safety, while allowing the surgeon to position the instrument directly with the instrument handle and further maintain the desired position of the instrument using the robot arm.

Co-manipulation surgical system having multiple operational modes for use with surgical instruments for performing surgery

Provided are systems and methods for path-based navigation of tubular networks. In one aspect, the method includes receiving location data from at least one of a set of location sensors and a set of robot command inputs, the location data being indicative of a location of an instrument configured to be driven through a luminal network. The method also includes determining a first estimate of the location of the instrument at a first time based on the location data, determining a second estimate of the location of the instrument at the first time based on the path, and determining the location of the instrument at the first time based on the first estimate and the second estimate.

Path-based navigation of tubular networks

Co-manipulation surgical systems having optical sensors for generating graphical displays

Certain aspects relate to systems and techniques for navigation-assisted medical devices. Some aspects relate to correlating features of depth information generated based on captured images of an anatomical luminal network with virtual features of depth information generated based on virtual images of a virtual representation of the anatomical luminal network in order to automatically determine aspects of a roll of a medical device within the luminal network.

Robotic systems for determining a roll of a medical device in luminal networks

A surgical robotic system automatically calibrates tubular and flexible surgical tools such as endoscopes. By compensating for unideal behavior of an endoscope, the surgical robotic system can accurately model motions of the endoscope and navigate the endoscope while performing a surgical procedure on a patient. During calibration, the surgical robotic system moves the endoscope to a target position and receives data describing an actual position and/or orientation of the endoscope. The surgical robotic system determines gain values based at least on the discrepancy between the target position and the actual position. The endoscope can include tubular components referred to as a sheath and leader. An instrument device manipulator of the surgical robotic system actuates pull wires coupled to the sheath and/or the leader, which causes the endoscope to articulate.

Automated calibration of surgical instruments with pull wires

Co-manipulation surgical system having a robot arm removeably attachable to surgical instruments for performing laparoscopic surgery

Certain aspects relate to systems and techniques for luminal network navigation. Some aspects relate to incorporating respiratory frequency and/or magnitude into a navigation system to implement patient safety measures. Some aspects relate to identifying, and compensating for, motion caused by patient respiration in order to provide a more accurate identification of the position of an instrument within a luminal network.

Robotic systems for navigation of luminal networks that compensate for physiological noise

Co-manipulation surgical system for use with surgical instruments having a virtual map display to facilitate setup

Provided are systems and methods for displaying an estimated location of an instrument. In one aspect, the method includes determining a first location of the instrument based on first location data generated by a set of one or more location sensors for the instrument, the first location data corresponding to a first time period, and after the first time period, receiving a user command to move the instrument during a second time period. The method also includes estimating a second location of the instrument based on the first location and the received user command, the estimated second location corresponding to the second time period, and confirming the estimated second location based on second location data generated by the set of location sensors. The method further includes causing the estimated second location to be displayed prior to the confirmation of the estimated second location.

Systems and methods for displaying estimated location of instrument

An object sizing system sizes an object positioned within a patient. The object sizing system identifies a presence of the object. The object sizing system navigates an elongate body of an instrument to a position proximal to the object within the patient. An imaging sensor coupled to the elongate body captures one or more sequential images of the object. The instrument may be further moved around within the patient to capture additional images at different positions/orientations relative to the object. The object sizing system also acquires robot data and/or EM data associated with the positions and orientations of the elongate body. The object sizing system analyzes the captured images based on the acquired robot data to estimate a size of the object.

Endolumenal object sizing

Navigation of an instrument within a luminal network can include image-based branch detection and mapping. Image-based branch detection can include identifying within an image one or more openings associated with one or more branches of a luminal network. Image-based branch mapping can include mapping the detected one or more openings to corresponding branches of the luminal network. Mapping may include comparing features of the openings to features of a set of expected openings. A position state estimate for the instrument can be determined from the mapped openings, which can facilitate navigation of the luminal network.

Image-based branch detection and mapping for navigation

Co-manipulation surgical system having an instrument centering mode for automatic scope movements

Certain aspects relate to systems, methods, and techniques for correcting for uncommanded instrument roll. A method for adjusting a controller-feedback system in a medical instrument may comprise receiving data from a sensor at or near a distal end of the instrument, determining a tip frame of reference based on the data from the sensor, the tip frame of reference representing a current orientation of the distal end of the instrument, obtaining a desired frame of reference, determining an adjustment to a visual frame of reference or a control frame of reference based on the tip frame of reference and the desired frame of reference, and transforming the visual frame of reference or the control frame of reference.

Systems and methods to correct for uncommanded instrument roll

Self-calibrating co-manipulation surgical system for use with surgical instrument for performing laparoscopic surgery

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San Mateo, CA, United States of America

Ritwik Ummalaneni