O robô com sensores nos dedos que separa lixo reciclável:betano brasileirão
The story…
Robot recycling
Learn language related to…
Technology
Need-to-know language
puncture-resistant – strong enough to prevent holes appearing
sensors – pieces of equipment that react to changes in heat or light
simulated – created as a model to test something
algorithms – mathematical rules used by a computer to calculate something
automation – operation using machines not humans
Answer this…
What percentage of stationary items could the robot identify?
Watch the video online: https://bbc.in/2X9SbNK
Transcript
This robot can automatically sort recyclable rubbish. The RoCycle system by MIT 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.
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 object and to know whether it’s flexible or not – we are able to go one step beyond what today’s methods can do.
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.
A common error was identifying paper-covered tins as paper. But how are researchers looking to improve the system?
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.
Did you get it?
What percentage of stationary items could the robot identify?
The robot currently has 85 percent accuracy in identifying stationary items.