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Robotic Arm Augmented Reality Control System

  • Mingyu Ma,
  • Xueying Qin

摘要

The traditional robotic arm control mode is relatively cumbersome, and its operation process is not intuitive for users. Complex interaction logic design increases the learning cost for operators. In conventional control approaches, there is a disconnect between the robotic arm’s planned movements and the real environment, making it difficult for users to visually determine whether the planned actions will collide with objects in the real scene. This limitation is unfavorable for collision detection and poses potential safety risks. Compared with traditional control methods, the fusion of virtual and real elements brought by augmented reality technology introduces a novel means for monitoring the robotic arm’s path planning. The Rokid-based Virtual Robotic Arm Augmented Reality Control System leverages AR to present a virtual robotic arm within an augmented scene that mirrors the real arm’s real-time status, allowing users to intuitively obtain joint state information. Users can interact with the AR environment to specify target positions, verify the feasibility of planned paths, and then execute the robotic arm’s movements. This effectively prevents potential collisions between the robotic arm and real-world objects during operation, helping users efficiently complete a wide range of robotic arm control tasks.