1. Depth camera guidance: using a depth camera for real-time environment sensing and localization, to guide the robot to navigate and operate by recognizing information such as the human body, objects, and environmental structures.
2. 3D point cloud guidance: Acquire 3D point cloud data of the environment by using devices such as laser scanners, and perform feature extraction and recognition to achieve robot navigation and operation guidance.
3. Augmented Reality Guidance: Based on augmented reality technology, virtual information is superimposed on the real world, and the robot is guided to navigate and operate by guiding the robot under the guidance of virtual information.
4. Visual marker guidance: placing visual markers in the environment, the robot's visual system recognizes the markers and obtains their position and direction information, in order to guide the robot to navigate and operate.
5. SLAM guidance: Using Simultaneous Localization and Map Building (SLAM) technology, the robot uses its own sensors and algorithms to build a map of the environment in real time and localize its own position, thus guiding the robot to navigate and operate.
These solutions can be applied individually or in combination to meet the 3D visual guidance needs of robots in different scenarios.