首页|'Robotic Medical System With Collision Proximity Indicators' in Patent Applicati on Approval Process (USPTO 20240181641)

'Robotic Medical System With Collision Proximity Indicators' in Patent Applicati on Approval Process (USPTO 20240181641)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors GOLDENSTEIN, Janet Helene (San Carlos, CA, US); HASSAN, Alexander Tarek (San Fra ncisco, CA, US); LOWN, Mark A. (Castro Valley, CA, US); MALINKEVICH, Felix (Wilb raham, MA, US); MURPHY, Ryan J. (Arvada, CO, US), filed on February 12, 2024, wa s made available online on June 6, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "Medical procedures, such as laparoscopy, may in volve accessing and visualizing an internal region of a patient. In a laparoscop ic procedure, a medical tool can be inserted into the internal region through a laparoscopic cannula. "A robotically-enabled medical system may be used to control the insertion and/o r manipulation of one or more medical tool(s). The robotically-enabled medical s ystem may include a plurality of robotic arms that manipulate the medical tool(s ). In positioning the medical tool(s), portions of one robotic arm may move towa rds another robotic arm or other object in the environment, which can lead to co llisions. "In some robotically-enabled medical systems, a user controls the one or more me dical tool(s) remotely, using, for example, a controller which may be provided a s part of a user console. The user console may also include a display that can a llow the user to view the one or more medical tool(s) within the internal region of the patient."

Emerging TechnologiesMachine LearningPatent ApplicationRoboticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.26)