Experimental Vision-Based Target Positioning by PI Micro-Robot

Abstract

In Inertia confinement fusion (ICF) physical experiments, target positioning accuracy directly affects the success of target hitting. The proposed positioning method firstly used template matching to extract the target features in image, then calculated the target’s spatial coordinate and rotation matrix by integrating the feature values from three CCDs. We used a PI Hexapods Micro-robot to adjust the target to a desired position. The experiment results show the PI Hexapods Micro-robot is confirmed to be able to adjust the target in a desired position, which verifies the practicality of the proposed positioning algorithm to be used in the real ICF physical experiment.