Abstract: Embodiment of the present disclosure provides a method for obstacle avoidance of a surgical robot. The method may include: collecting first data through a first acquisition device, wherein the first data is image data of a space in which a target subject is located; constructing a safety zone for the target subject based on the first data; collecting second data outside the safety zone through a second acquisition device, wherein the second data is image data of the target subject; and constructing a three-dimensional model of the target subject based on the second data, wherein the three-dimensional model of the target subject may be used for obstacle avoidance detection during an operation of the surgical robot.

Abstract: The present disclosure provides a collision prediction system and method. The method may include obtaining a target model of a target device. The method may also include determining first posture information of the target model and second posture information of an operating apparatus, wherein the target device is set on an end of the operating apparatus. The method may further include generating a collision prediction between the target model and the operating apparatus based on the first posture information and the second posture information, the collision prediction indicating whether there is a space accommodating the target device during an operation of the operating apparatus.