本集內(nèi)容

Robot recycling 垃圾分揀機(jī)器人

學(xué)習(xí)要點(diǎn)

有關(guān) “technology 科技” 的詞匯

邊看邊答

What percentage of stationary items could the robot identify?

文字稿

This robot can automatically sort recyclable rubbish. The RoCycle system by M.I.T. has a soft, puncture-resistant hand. Pressure sensors on its fingertips detect an object’s size and material. It then autonomously places the item in the appropriate recycle bin.

這個(gè)機(jī)器人能自動(dòng)分類(lèi)可回收的垃圾。麻省理工學(xué)院的 “RoCycle” 系統(tǒng)用一只柔軟的、防穿刺的手來(lái)分揀回收垃圾。指尖上的壓力傳感器可以探測(cè)到物體的大小和材質(zhì)。然后它自動(dòng)將物品放入相應(yīng)的回收垃圾箱。

Professor Daniela Rus, Director, MIT CSAIL

With computer vision alone, the systems are not able to separate paper from plastic. Many paper and plastic cups look the same, but by introducing the ability to squeeze the objects and to know whether it’s flexible or not – we are able to go one step beyond what today’s methods can do.

丹妮拉·魯斯教授 ? ? 麻省理工學(xué)院計(jì)算機(jī)科學(xué)與人工智能實(shí)驗(yàn)室

“單憑計(jì)算機(jī)視覺(jué)，這些系統(tǒng)無(wú)法將紙張與塑料分開(kāi)。許多紙杯和塑料杯看起來(lái)是一樣的，但是通過(guò)引入擠壓物體的能力，并辨別它是否有彈性、可彎曲，我們則能夠超越現(xiàn)有的方法。”

The goal of the system is to reduce the back-end cost of recycling. It currently has 85 percent accuracy in identifying stationary items, but only 63 percent accuracy on a simulated conveyer belt.

該系統(tǒng)的目標(biāo)是降低后端回收成本。目前，它識(shí)別靜止物體的準(zhǔn)確率為 85%，但在模擬輸送帶上的準(zhǔn)確率僅為 63%。

A common error was identifying paper-covered tins as paper. But how are researchers looking to improve the system?

一個(gè)常見(jiàn)的錯(cuò)誤是把外包裝由紙覆蓋的金屬罐頭盒識(shí)別成紙。那么研究人員在如何改進(jìn)這個(gè)系統(tǒng)？

Professor Daniela Rus, Director, MIT CSAIL

We plan to create a much more detailed sensorised skin. We plan to develop the hand at different sizes and we plan to improve our algorithms for recognition. We’re very excited to see the use of robot automation in solving a problem that matters globally.

丹妮拉·魯斯教授 ? ? 麻省理工學(xué)院計(jì)算機(jī)科學(xué)與人工智能實(shí)驗(yàn)室

“我們計(jì)劃創(chuàng)造一個(gè)更精細(xì)的傳感皮膚。我們還計(jì)劃研制不同大小的手，并改進(jìn)我們的識(shí)別算法。我們很高興看到機(jī)器人自動(dòng)化在解決一個(gè)全球性問(wèn)題上的應(yīng)用。”

詞匯

puncture-resistant 防穿刺的

sensors 感應(yīng)器

simulated 模擬的，模仿的

algorithms (計(jì)算機(jī)使用的)算法

automation 自動(dòng)化

問(wèn)題答案

The robot currently has 85 percent accuracy in identifying stationary items.

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