Surgical Robot Arm Path Planning With Depth-Based Self-Positioning
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Solution Overview
Problem
Existing surgical robot arm control systems rely on medical personnel for overall movement and control, leading to potential operational errors and reduced efficiency.
Innovation Solution
A surgical robot arm control system that includes a surgical robot arm, a spatial positioning information acquisition unit, a depth image acquisition unit, and a processor. The processor performs image recognition on panoramic depth images to locate the robot arm, define an environmental space, plan a movement path, and control the robot arm autonomously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If medical personnel manually control the surgical robot arm, then operational flexibility is maintained, but the risk of operational errors increases and efficiency decreases
Solution Approach 1:
The surgical robot arm performs self-positioning and self-navigation by automatically recognizing the surgical environment through depth images and spatial coordinates, planning its own movement path, and executing autonomous control to reach the target surgical region without requiring manual operation by medical personnel
Solution Approach 2:
The patent replaces manual mechanical control with an automated control system that uses depth image acquisition units, spatial positioning information acquisition units, and processors to automatically plan and execute movement paths, substituting human-operated mechanical control with intelligent automated control
2Productivity
If medical personnel oversee overall movement and control, then safety is maintained, but operational efficiency is reduced
Solution Approach 1:
The surgical robot arm autonomously performs environment recognition, position localization, path planning, and movement execution without requiring continuous oversight or intervention from medical personnel, thereby significantly improving operational efficiency while maintaining safety through automated control algorithms
3Measurement precision
If the system uses image recognition and spatial positioning for autonomous control, then operational accuracy is improved, but system complexity increases
Solution Approach 1:
The processor serves multiple functions by integrating depth image processing, spatial coordinate analysis, environment recognition, position localization, and path planning capabilities into a single control unit, thereby achieving high positioning accuracy while managing system complexity through functional integration
Data Source
AI summary
A surgical robot arm control system and a surgical robot arm control method are provided. The surgical robot arm control system includes a surgical robot arm, a spatial positioning information acquisition unit, a depth image acquisition unit, and a processor. The spatial positioning information acquisition unit is configured to acquire spatial coordinate data. The depth image acquisition unit is configured to acquire a panoramic depth image. The processor performs image recognition on the panoramic depth image to recognize the surgical robot arm and locates a position of the surgical robot arm based on the spatial coordinate data. The processor defines an environmental space according to the position of the surgical robot arm and plans a movement path of the surgical robot arm in the environmental space. The processor controls the surgical robot arm according to the movement path of the surgical robot arm.