This paper presents a method for the normal estimation of mirrors and transparent objects that are difficult to recognize with a camera. To create a diffuse reflective surface, we propose spraying water vapor onto transparent or mirror surfaces. In the proposed method, we move an ultrasonic humidifier equipped on the tip of a robotic arm to apply sprayed water vapor onto the plane of a target object to form a cross-shaped misted area. Diffuse reflective surfaces are partially generated as misted areas, which allows the camera to detect the surface of the target object. The viewpoint of the gripper-mounted camera is adjusted such that the extracted misted area appears to be the largest in the image, and finally, the plane normal of the target object surface is estimated. Normal estimation experiments were conducted to evaluate the effectiveness of the proposed method. The RMSEs of the azimuth estimation for the mirror and transparent glass were approximately 4.2 and 5.8 degrees, respectively. Consequently, our robot experiments demonstrate that our robotic wiper can perform contact-force-regulated wiping motions to clean a transparent window, as humans do.
翻译:基于活性蒸汽的机器人擦窗器
本文提出一种估计难以使用摄像机识别的镜面和透明物体的法线的方法。为了制造漫反射表面,我们建议在透明或镜面表面上喷洒水蒸气。在所提出的方法中,我们移动一个装有超声波加湿器的机器人臂的尖端,将喷雾的水蒸气施加在目标物体的平面上,形成十字状的喷雾区域。将雾区域部分生成为漫反射表面,使摄像机能够检测目标物体的表面。调整夹持装置安装的摄像机的视点,使提取的雾化区域在图像中最大,最终估计目标物体表面的平面法线。进行了法线估计实验,以评估所提出方法的有效性。对于镜面和透明玻璃的方位角估计的均方根误差(RMSE)分别为约4.2度和5.8度。因此,我们的机器人实验证明了我们的机器人擦窗器可以像人类一样进行接触力调节的擦拭运动。