Surgical Robotic Arm Vision-Based Path Planning

The patent replaces multiple physical sensors with a camera-based vision system. Instead of using complex sensor arrays to detect obstacles and environment, the system uses image capturing units to obtain visual information, which is then processed to generate environment information images, direction information images, and depth information images. This substitutes mechanical/sensor-based detection with optical-based detection, reducing device complexity while maintaining automatic control functionality.

The patent creates virtual copies of the physical environment through image processing. It generates environment information images, direction information images, and depth information images that are digital representations of the actual surgical environment. These image-based copies allow the robotic arm to navigate and avoid obstacles without needing physical sensors to directly interact with the environment, simplifying the hardware while achieving accurate automatic movement.

The patent enables the robotic arm to perform self-navigation and self-correction through vision-based autonomous control. The system automatically captures images, processes them to extract environment and depth information, calculates paths, and adjusts movement without requiring manual correction operations. The robotic arm serves itself by using its own vision system to detect obstacles and autonomously navigate, eliminating the need for user intervention and improving ease of operation.

The patent implements a closed-loop feedback system where the camera continuously captures images of the environment, the processor analyzes these images to generate depth and direction information, and the robotic arm adjusts its movement based on this feedback. This real-time feedback mechanism allows the system to automatically correct its path and avoid obstacles without manual intervention, enhancing both automation and ease of operation.