垃圾⾃动分拣系统python代码_Robotrecycling垃圾分拣机器⼈本集内容
Robot recycling 垃圾分拣机器⼈
学习要点
有关 “technology 科技” 的词汇
边看边答
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.
这个机器⼈能⾃动分类可回收的垃圾。⿇省理⼯学院的 “RoCycle” 系统⽤⼀只柔软的、防穿刺的⼿来分拣回收垃圾。指尖上的压⼒传感器可以探测到物体的⼤⼩和材质。然后它⾃动将物品放⼊相应的回收垃圾箱。
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·鲁斯教授    ⿇省理⼯学院计算机科学与⼈⼯智能实验室
“单凭计算机视觉，这些系统⽆法将纸张与塑料分开。许多纸杯和塑料杯看起来是⼀样的，但是通过引⼊挤压物体的能⼒，并辨别它是否有弹性、可弯曲，我们则能够超越现有的⽅法。”
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.
该系统的⽬标是降低后端回收成本。⽬前，它识别静⽌物体的准确率为 85%，但在模拟输送带上的准确率仅为 63%。
A common error was identifying paper-covered tins as paper. But how are researchers looking to improve the system?
⼀个常见的错误是把外包装由纸覆盖的⾦属罐头盒识别成纸。那么研究⼈员在如何改进这个系统？
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·鲁斯教授    ⿇省理⼯学院计算机科学与⼈⼯智能实验室
“我们计划创造⼀个更精细的传感⽪肤。我们还计划研制不同⼤⼩的⼿，并改进我们的识别算法。我们很⾼兴看到机器⼈⾃动化在解决⼀个全球性问题上的应⽤。”
词汇
python代码转换puncture-resistant 防穿刺的
sensors 感应器
simulated 模拟的，模仿的
algorithms (计算机使⽤的)算法
automation ⾃动化
问题答案
The robot currently has 85 percent accuracy in identifying stationary items.

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