this post was submitted on 06 Jan 2024
114 points (89.6% liked)
Technology
59656 readers
3028 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
This is the best summary I could come up with:
Google’s data gathering system, AutoRT, can use a visual language model (VLM) and large language model (LLM) working hand in hand to understand its environment, adapt to unfamiliar settings, and decide on appropriate tasks.
For additional safety, DeepMind programmed the robots to stop automatically if the force on its joints goes past a certain threshold and included a physical kill switch human operators can use to deactivate them.
Over a period of seven months, Google deployed a fleet of 53 AutoRT robots into four different office buildings and conducted over 77,000 trials.
DeepMind’s other new tech includes SARA-RT, a neural network architecture designed to make the existing Robotic Transformer RT-2 more accurate and faster.
It also announced RT-Trajectory, which adds 2D outlines to help robots better perform specific physical tasks, such as wiping down a table.
We still seem to be a very long way from robots that serve drinks and fluff pillows autonomously, but when they’re available, they may have learned from a system like AutoRT.
The original article contains 379 words, the summary contains 167 words. Saved 56%. I'm a bot and I'm open source!