Medtech S.a.

Med-tech Inc.

Pierre Maillet

Bertin Nahum

Fernand Badano

Patrick Dehour

Alexander Habermeier

Lucien Blondel

Florian Coiseur

Maxence François

A system or method may be used to provide registration, calibration, or tracking of patient anatomy using a camera and a robotic surgical system. The camera may include a structured light camera. The camera may be used to acquire an image of patient anatomy or a reference object. A method may include determining a distance (e.g., from the camera) or a location of the patient anatomy or the reference object. The robotic surgical system may include a robotic arm that may be configured to move based on the distance or location of the patient anatomy or the reference object.

Robotic guided 3D structured light-based camera

Systems and methods may be used for registering a force input on a portion of a surgical robot, for example using a force sensor of the surgical robot. The force input may correspond to a control command. The control command may generate a change in a control mode of the surgical robot, validate a step of a workflow in planning or navigation software, or the like. A visual indication may be provided, for example using a light of the surgical robot. The visual indication may indicate that the control command has been identified or executed.

Robotic controls for a surgical robot

This invention concerns an automated registration method and device for a surgical robot enabling registration between a first three-dimensional location system comprising an optical distance sensor and a second three-dimensional location system comprising optical acquisition means. The method comprises: The second registration step is performed at the same time as the first registration step by detection, by the optical acquisition means, of at least one point of a point cloud acquired by the optical sensor during the first intraoperative registration.

Automatic registration method and device for surgical robot

This invention concerns an automated registration method and device for a surgical robot enabling registration between a first three-dimensional location system comprising an optical distance sensor and a second three-dimensional location system comprising optical acquisition means. The method comprises:&#x2014;a first step of intraoperative registration between the first location system and data recorded on an anatomical surface of a patient and;&#x2014;a second step of intraoperative registration of two three-dimensional location systems. The second registration step is performed at the same time as the first registration step by detection, by the optical acquisition means, of at least one point of a point cloud acquired by the optical sensor during the first intraoperative registration.

The robotic device for positioning a surgical instrument relative to the body of a patient includes a first robotic arm with a device for rigidly connecting to at least one surgical instrument, a device for anatomical realignment of the first arm by realigning an image that is of an area of the anatomy of the patient, and a device for compensating the movements of the first arm on the basis of detected movements. One version of the device includes at least one second robotic arm having sensors for detecting inner movements of the anatomical area, and a device for controlling the positioning of the first arm relative to sensed inner movements and to the outer movements induced in the second arm.

Robotic-assisted device for positioning a surgical instrument relative to the body of a patient

The method for the automated and assisted acquisition of anatomical surfaces includes a first acquisition of the surfaces undertaken in order to create a first numerical model and a perioperative second acquisition undertaken by scanning the surfaces in order to create a second numerical model for identifying the coordinates of the surfaces. The surfaces are supported by a robotic arm; and then the models are brought into correspondence by resetting. The scanning in the second acquisition includes making a preliminary identification of the coordinates of noteworthy points on the surfaces manually, assisted by the robotic arm, and the identifying parts a the points, in order to construct a reference frame and to determine a scanning region; creating an intermediate model from the reference frame and at least one of the points; preliminary resetting the first model with the second model; and automatically scanning the determined zone.

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Saint Aunes, France

Pierre Maillet