RONov 16, 2021

Active Vapor-Based Robotic Wiper

arXiv:2111.08248v3
Originality Incremental advance
AI Analysis

This addresses a specific challenge in robotics for handling reflective or transparent surfaces, though it is incremental in applying vapor-based techniques to normal estimation.

The paper tackles the problem of estimating normals for mirrors and transparent objects, which are difficult for cameras to recognize, by spraying water vapor to create diffuse reflective surfaces, achieving RMSEs of about 4.2 degrees for mirrors and 5.8 degrees for transparent glass.

This paper presents a method for estimating normals of mirrors and transparent objects challenging for cameras to recognize. We propose spraying water vapor onto mirror or transparent surfaces to create a diffuse reflective surface. Using an ultrasonic humidifier on a robotic arm, we apply water vapor to the target object's surface, forming a cross-shaped misted area. This creates partially diffuse reflective surfaces, enabling the camera to detect the target object's surface. Adjusting the gripper-mounted camera viewpoint maximizes the extracted misted area's appearance in the image, allowing normal estimation of the target surface. Experiments show the method's effectiveness, with RMSEs of azimuth estimation for mirrors and transparent glass at approximately 4.2 and 5.8 degrees, respectively. Our robot experiments demonstrated that our robotic wiper can perform contact-force-regulated wiping motions to clean a transparent window, akin to human performance.

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