Abstract
Autonomous robots that replace humans are currently in high demand in the manufacturing sector worldwide. However, these robots cannot be used in unknown environments. In this search, we aim at improving the camera calibration accuracies in order to accurately calculate the shape and position of an object from the image information obtained by two cameras.We focus on the positions of two cameras. In this reserch, we propose the optimal positions of two cameras by taking into consideration calibration accuracies. First of all, we examine the influences of the positions of two cameras for calibration accuracies. Next, we determine the optimal camera position by considering pareto optimization. After that, we verify the effectiveness of the positions of two cameras by random-bin-picking accompanied by searching task and grasping task.
