Lune

UIST2021顶会

SensiCut: Material-Aware Laser Cutting Using Speckle Sensing and Deep Learning

Mustafa Doga Dogan, Steven Vidal Acevedo Colon, Varnika Sinha, Kaan Aksit, Stefanie Müller

2021年份
40被引次数
12顶会引用

摘要

Figure 1: SensiCut augments standard laser cutters with a speckle sensing add-on that can (a) identify materials often found in workshops, including visually similar ones. (b) SensiCut's user interface integrates material identification into the laser cutting workflow and also offers suggestions on how to adjust a design's geometry based on the identified material (e.g., adjusting the size of an earring cut from felt since the kerf for felt is larger than for other materials). (c) Each identified sheet is cut with the correct power and speed settings.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

引用它的顶会 Paper12

问问它们各自怎么用它

它引用的顶会 Paper5

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖