Mobile Cooperative Robot Safe Interaction Method Based on Embodied Perception

The most crucial feature of cooperative robot is interaction safety. Ensuring safe interaction with humans is essential for improving the quality and efficiency of industrial robot production. The promotion and development of cooperative robot heavily rely on ensuring safe human-robot interaction. Therefore, this paper introduces a vision-centric cooperative robot interaction system designed for dynamic environments. Firstly, the system utilizes a highly accurate 3D camera to reconstruct the monitoring scene in three dimensions. Simultaneously, the camera mounted on the robot's head reconstructs objects within its current field of view with high precision. By merging the point clouds of these two scenes, the system achieves a comprehensive reconstruction. Secondly, the system extracts the point cloud data of human bodies in the scene and determines a safe distance between humans and the robot based on the human point cloud. This analysis allows the system to define an appropriate safety range. Finally, the system evaluates whether the human body is within the predefined safe distance from the robot and facilitates improved human-robot interactions accordingly. By implementing this approach, the system effectively ensures interaction safety in the work environment. Experimental results demonstrate the effectiveness of the proposed system in maintaining a secure interaction environment.