Researchers at the University of Tokyo have developed a robot that can peel bananas without damaging them. ABOUT the robot was trained using machine learning based on 811 minutes of data, with human demonstrations. During testing, the robot was able to successfully peel a banana in 57% attemptsin a process that took about 3 minutes.

Heechhol Kim from the University of Tokyo led the team of researchers who developed the machine learning system. The robot has two mechanical arms with small pincer-shaped “brushes” that mimic human fingers. The task was divided into nine steps: holding a banana, lifting it off the table with a mechanical hand, peeling, handling, and removing the skin. The data for 811 minutes was obtained by a team of researchers manually with a robot.

But is it hard to peel a banana?

The process may seem simple, but we’re talking about a robot that has learned how to perform a task on its own with the help of data. Furthermore, Bananas are fruits that are very easy to crush or damage.any excessive force damages the fetus.

Handling soft fruit is a challenge for robotsthat require great dexterity and subtle touch to handle. Another important detail is that bananas, even of the same species, can represent different shapes in their format, which further complicates the learning process. Such variations prompted the researchers to develop a program that uses a reactive approach, responding to unexpected changes in the environment.

According to Kim, 811 minutes of data (around 1:30 p.m.) is far less than the hundreds of hours used in these experiments. Something that makes a design more efficient and more reproducible in other applications. “This still requires a lot of GPUs, but with our infrastructure, we can reduce the amount of computation required,” the researcher said.

With the development of technology, it could be used to create a system capable of performing multiple tasks that require fine motor skills of robots.

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Source: New Scientist