Google DeepMind taught a robot to tie shoelaces and repair other robots

Children usually learn to tie their shoes by age 5 or 6. At the same time, robots have been trying to master this task for several decades. It looks like the developers at Google DeepMind have made some progress on this. In addition, they succeeded in teaching the robot to perform some other actions that require dexterity.

Image Source: Google DeepMind

Researchers at Google DeepMind have demonstrated a training method that can teach a robot to perform certain dexterity tasks, such as tying shoelaces, hanging up shirts, and even fixing other robots.

Some success has been achieved in this direction thanks to the new ALOHA Unleashed training platform and its own modeling program DemoStart, which allows robots to learn by observing people.

The DeepMind team’s research primarily demonstrates how robotic systems can learn to perform fairly complex tasks by learning from visual demonstrations. However, this work also has important practical implications, since such robots may be useful, especially for assisting people with disabilities.

admin

Share
Published by
admin

Recent Posts

GPUs limit programming freedom, so more chips will appear in the field of AI – Lisa Su

GPUs, originally created for creating three-dimensional images, have performed well in the field of accelerating…

7 mins ago

Samsung Display will build an OLED display plant in Vietnam

South Korean electronics maker Samsung Display plans to invest $1.8 billion this year to build…

13 mins ago

Intel’s takeover by Qualcomm is unlikely to be approved by antitrust regulators, especially in China

Those wishing to believe in a successful outcome of Qualcomm's initiative to acquire Intel assets…

2 hours ago

AT&T reluctantly agreed to remove tens of tons of lead from the bottom of Lake Tahoe

US telecom operator AT&T has agreed to remove abandoned lead-sheathed cables that have led to…

3 hours ago