Let Robots "Understand by Touch" the World, BeingBeyond Releases New Generation Model Being-H0.8
BeingBeyond has released Being-H0.8, a new AI model that integrates tactile feedback into robotic pre-training. This advancement allows robots to better understand physical interactions like slipping or force application, moving beyond purely visual perception.
Why it matters
Improving tactile sensing is a critical step toward enabling robots to perform complex, contact-intensive tasks in real-world environments.
TWEET in SHARE SHARE Scan for mobile Gasgoo Munich- On July 28, BeingBeyond, a developer of general embodied foundation models, officially released Being-H0.8, a new generation of implicit tactile world-action models.
The model marks the first systematic introduction of tactile modalities into large-scale pre-training. It achieves a unified representation of vision, touch, action, and the future state of the physical world, signaling a shift for embodied large models from "visual observation" to "multimodal interactive understanding."
Closing the Tactile Gap: Letting Robots "Feel" the Physical World
In previous embodied intelligence solutions, vision was the primary perceptual input. Yet vision alone often fails to capture the full spectrum of information required for real-world manipulation. Details such as whether contact has been made, if an object is slipping, or if sufficient force is applied—factors that determine success or failure—often cannot be reliably captured through visual data alone.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in