Abstract: A dental robot includes a platform and a suspension system. The suspension system supports the platform and automatically compensates for weights of the platform and a robot arm, end effector, and tooth clamp attached to the platform. The suspension system maintains a constant height of the platform above a base, absent an external force on the tooth clamp. The suspension system allows position and orientation of the platform to change, relative to the base, in response to an external force on the tooth clamp greater than about 0.1 N, such as a result of movement (change in position and/or orientation) of a subject. Consequently, the position and orientation of the platform remain fixed, relative to the subject's teeth, in response to movement of the teeth.
Type:
Grant
Filed:
July 10, 2024
Date of Patent:
April 28, 2026
Assignee:
Perceptive Technologies, Inc.
Inventors:
Christopher John Ciriello, Phillip Getto, James Patrick Jackson, Nathan John Müller
Abstract: An automated dental drill includes an end effector, including a dental tool for disposition at least partially in a patient's mouth and to perform an operation on a tooth. A tooth clamp releasably rigidly attaches to at least one tooth. A drive assembly is controlled by a processor and positions the end effector with a first at least three degrees of freedom, relative to the tooth clamp. The drive assembly remains outside the patient's mouth. A clamp connector connects the tooth clamp to the drive assembly. With the tooth clamp coupled to the drive assembly and the tooth clamp attached to the at least one tooth, position and orientation of the drive assembly remain fixed, relative to the at least one tooth. A passive cantilever arm, mechanically coupled between a support structure and the drive assembly, has a second at least three degrees of freedom and supports the drive assembly.
Type:
Grant
Filed:
August 21, 2020
Date of Patent:
July 29, 2025
Assignee:
Perceptive Technologies, Inc.
Inventors:
Christopher John Ciriello, James Jackson, Nathan John Muller, Brian Edward King
Abstract: An optical coherence tomography scanning system traverses its respective scan pattern quickly, typically completing an entire two-dimensional frame faster than a conventional raster scanner completes one raster line segment. To traverse the scan pattern quickly, the system takes fewer A-scans per length of scan pattern than a conventional OCT scanner. To compensate for the sparsity of the sample points along the respective scan line segments, and for gaps between respective line segments of the trajectory, the system acquires and combines several partially overlapping frames for each study.
Type:
Application
Filed:
May 15, 2024
Publication date:
September 12, 2024
Applicant:
Perceptive Technologies, Inc.
Inventors:
Christopher John Ciriello, Wei Kang, Phillip Getto, Angela Zhang, Justin LaRue, Victor Grinberg
Abstract: Provided herein are computer-implemented methods, computer-implemented systems, and a non-transitory computer-readable storage media for directing an automated dental drill (ADD) for preparation of a target tooth of a patient under the control of a practitioner.
Type:
Grant
Filed:
March 2, 2023
Date of Patent:
July 9, 2024
Assignee:
Perceptive Technologies, Inc.
Inventors:
Christopher John Ciriello, Scott Howard Phillips
Abstract: An optical coherence tomography scanning system traverses its respective scan pattern quickly, typically completing an entire two-dimensional frame faster than a conventional raster scanner completes one raster line segment. To traverse the scan pattern quickly, the system takes fewer A-scans per length of scan pattern than a conventional OCT scanner. To compensate for the sparsity of the sample points along the respective scan line segments, and for gaps between respective line segments of the trajectory, the system acquires and combines several partially overlapping frames for each study.
Type:
Grant
Filed:
September 8, 2023
Date of Patent:
June 25, 2024
Assignee:
Perceptive Technologies, Inc.
Inventors:
Christopher John Ciriello, Wei Kang, Phillip Getto, Angela Zhang, Justin LaRue, Victor Grinberg