A surgical robot training system, method, apparatus and medium

CN122290400APending Publication Date: 2026-06-26BEIJING GREAT ROBOTICS TECH LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING GREAT ROBOTICS TECH LTD
Filing Date
2026-03-24
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing surgical robot training methods are limited by the limited number of high-cost devices, resulting in long training cycles and difficulty in scaling up. There are also limited ways to accumulate experience in remote surgery, and the existing training system has failed to effectively solve problems such as multi-person collaboration and authority transfer.

Method used

Through communication between the teacher's client, the cloud server, and the student's client, remote transmission and arbitration of video footage and operation commands are achieved, supporting multi-person collaboration and access control. The cloud server is used to configure display permissions and command arbitration mechanisms to ensure the security and real-time nature of training.

Benefits of technology

It breaks through the geographical limitations of training, improves the efficiency and flexibility of surgical robot training, supports complete operation by a single person and collaborative work by multiple people, provides a safe remote training environment, and enhances the real-time nature and security of training.

✦ Generated by Eureka AI based on patent content.

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Abstract

This manual provides a training system, method, equipment, and medium for a surgical robot. In this manual, multiple student clients can remotely connect to a teacher client via a cloud server. The teacher client collects and uploads surgical videos to the cloud server, which distributes the videos according to the display permissions configured for each student, enabling students to remotely observe real surgical procedures, breaking geographical limitations and improving equipment utilization. Student clients can send remote operation commands carrying their own identifiers to the teacher client via the cloud server. The teacher client stores the operation permissions of each student and verifies them based on the identifiers, thereby supporting the flexible allocation of operation permissions for the same robot to different students and realizing various training modes from single-person operation to multi-person collaboration. The teacher client also stores a command arbitration mechanism to determine the priority of operation command execution, providing security for multi-terminal remote collaboration and enabling students to practice in real remote surgical scenarios.
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