Meet The Most Nimble-fingered Robot Yet

Dive into the future, where we’d probably have flying cars or shoes with boosters or every person with a personal robot to assist. That isn’t much far. Our upcoming generation would definitely witness all of this. We? Well the scientists have worked enough to showcase what has been in everybody’s mind for years and overcome what was thought to be difficult and impossible.


From tying shoe laces to picking small objects, what comes easy to humans. Have you ever wondered if a robot could do so? Well now it’s possible. This bot is significantly better than anything developed previously. In tests, when it was more than 50 percent confident, this bot could grasp an object without shaking or dropping an object 98 percent of the times. Which is extremely brilliant in the revolution of robotics!

University of California at Berkeley researchers developed a dexterous multi fingered robot with 99% precision grasping. The UC Berkeley researchers fed certain images into a neural network connected to an off-the-shelf 3-D sensor and a standard robot arm. Which helps the bot to study any object placed in front of it and decide what grasp should it use to lift it. Just think, a robot which can scan objects and make a grip according to its size and shape!

Advances in control algorithms and machine-learning approaches, together with new hardware, are steadily building a foundation on which a new generation of robots will operate. These systems will be able to perform a much wider range of everyday tasks. More nimble-fingered machines are, in fact, already taking on manual labor that has long remained out of reach.


The emergence of more dexterous robots could have significant economic implications, too. The robots found today in factories are incredible and outstanding, but they’re clumsy with picking awkward or differently shaped objects. Which obviously doesn’t fulfill all the requirements. A number of companies, including Amazon, are using robots in warehouses, but so far only for moving products around, and not for picking objects for orders.

Ress Tedrake, an MIT professor who works on robots, says a number of research groups are making progress on much more capable dexterous robots. He adds that the UC Berkeley work is impressive because it combines newer machine-learning methods with more traditional approaches that involve reasoning over the shape of an object.

Technology is heading, towards a better tomorrow with magnificent and quick changes.

We can definitely have a sense of the tech driven future now, can’t we? Time is definitely pacing fast, but the future of technology is pacing faster.