Beijing Surgerii Technology Co., Ltd.

Beijing Surgerii Robotics Company Limited

Wukun Mei

Kai Xu

Bin Zhao

Huan Liu

Jiangran Zhao

Zhengchen Dai

Wei Wei

Bo Liang

Huichao Zhang

A control system for a surgical robot is provided. The control system includes a first embedded computer and a second embedded computer configured to receive status information from the first embedded computer. The status information includes a status of zero-return for a surgical tool driving module or an imaging tool driving module. The control system also includes a host computer configured to receive the status information from the second embedded computer. The surgical tool driving module or the imaging tool driving module includes a controller, a motor connected with a first coupling and configured to drive the surgical tool or an imaging tool, and a zero point switch configured to detect whether the first coupling is at a zero position. The controller is configured to transmit the status of zero-return to the first embedded computer based on whether the first coupling is at the zero position.

Integrated control system for a surgical robot based on embedded computers

This invention relates to a method for detecting faults in the operating states of a surgical robotic system, wherein the surgical robotic system including a master computer, a master embedded computer and a plurality of slave embedded computers is provided; the master computer controls the master embedded computer and the slave embedded computers via the LAN router; the master embedded computer communicates with the slave embedded computers via the LAN router and a first communication bus. In the present invention, the master computer, the master embedded computer and the slave embedded computers can detect faults interactively. Safety and reliability of the operation of the surgical robotic system can be improved without increasing any additional detection components, and communication burden of the system can be effectively reduced. The present invention can be widely applied to a minimally invasive surgical robotic system.

Method for detecting faults in operating states of surgical robots

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Beijing, China

Wukun Mei