Ant Group’s Robbyant Open-Sources LingBot-Touch Tactile AI Model for Robotics

LingBot-Touch uses a shared representation to process tactile information from magnetic, visual, and piezoresistive sensors. This approach aims to make tactile technology compatible with different robotic systems and sensor designs.

LingBot-Touch Trained on Nearly 5,000 Hours of Tactile Data

According to Robbyant, LingBot-Touch was pre-trained using nearly 5,000 hours of real-world tactile data. The training helps the model understand physical contact and use touch information while performing tasks.

The model supports three types of sensing technologies: magnetic, visual, and piezoresistive. By combining data from different sensors into a shared system, it aims to make it easier to develop tactile capabilities for different robots.

Tests Show Improved Robot Task Performance

Robbyant evaluated LingBot-Touch through 26 tests involving two robotic hands and four action models.

According to the company, the tests showed that average task success rates improved by around 14 to 26 percentage points compared with systems that did not use tactile input.

Part of Ant Group’s Open-Source Robotics Efforts

Robbyant aims to build what it describes as “one brain for all robots.” LingBot-Touch supports this goal by providing a tactile model that can work across different sensor designs.

The release is also part of Ant Group’s wider open-source robotics efforts. The company aims to support the development of robots that can operate in real-world environments rather than being limited to laboratory demonstrations.

Other open-source tactile technology projects are also working on this area, including tools for benchmarking tactile sensors and scalable tactile sensing systems.

About Robbyant

Robbyant is an embodied AI company within Ant Group focused on developing AI technologies for robotics. Its work aims to help robots understand and interact with the physical world. The company is working towards building AI systems that can support different types of robots and real-world applications.

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