Auris Health, Inc.

Benjamin Robert Fredrickson

Yanan Huang

Travis C Covington

Jason Tomas Wilson

Ying Mao

Nicholas J Eyre

Ryan J Murphy

Eloi Le Roux

Aren Calder Hill

Alexander Tarek Hassan

Mitchell Arthur Phillips

Systems and methods for collision avoidance using object models are provided. In one aspect, a robotic medical system, includes a platform, one or more robotic arms coupled to the platform, a console configured to receive input commanding motion of the one or more robotic arms, a processor, and at least one computer-readable memory in communication with the processor. The processor is configured to control movement of the one or more robotic arms in a workspace based on the input received by the console, receive an indication of one or more objects are within reach of the one or more robotic arms, and update the model to include a representation of the one or more objects in the workspace.

Systems and methods for collision avoidance using object models

Certain aspects relate to systems and techniques for preparing a robotic system for surgery. In one aspect, the method includes a robotic arm, a sensor configured to generate information indicative of a location of the robotic arm, a processor, and at least one computer-readable memory in communication with the processor and having stored thereon computer-executable instructions. The instructions are configured to cause the processor to receive the information from the sensor, determine that the robotic arm is located at a first position in which a first axis associated with the robotic arm is not in alignment with a second axis associated with a port installed in a patient, and provide a command to move the robotic arm to a second position in which the first axis associated with the robotic arm is in alignment with the second axis.

Systems and methods for robotic arm alignment and docking

Certain aspects relate to systems and techniques for alignment and docking of robotic arm of a robotic system for surgery. In one aspect, the system includes a robotic arm, a drive mechanism attached to the robotic arm, and a cannula. The system may further include a first sensor coupled to either the robotic arm or the drive mechanism configured to direct automatic movement of the robotic arm towards the cannula, and a second sensor, that is different than the first sensor, coupled to either the robotic arm or the drive mechanism configured to direct manual movement of the robotic arm towards the cannula.

Systems and methods for collision detection and avoidance are provided. In one aspect, a robotic medical system including a first set of links, a second set of links, a console configured to receive input commanding motion of the first set of links and the second set of links, a processor, and at least one computer-readable memory in communication with the processor. The processor is configured to access the model of the first set of links and the second set of links, control movement of the first set of links and the second set of links based on the input received by the console, determine a distance between the first set of links and the second set of links based on the model, and prevent a collision between the first set of links and the second set of links based on the determined distance.

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Belmont, CA, United States of America

Benjamin Robert Fredrickson