# Robbyant releases LingBot-Touch, an open-source tactile foundation model for robot hands

> Original title: LingBot-Touch has landed: an open-source tactile foundation model for transferring touch-based skills across robot hands, sensors, and ma...

- Source: ModelScope
- Published: 2026-11-10T12:00:29.000Z
- Bad Influence: https://badinfluence.news/items/pj8bo1s6qeaphekdbvd9ggak5
- Original: https://x.com/ModelScope2022/status/2120124432244998499

## Summary

ModelScope announces that Robbyant has released LingBot-Touch, an open-source tactile foundation model under the Apache-2.0 license for transferring touch-based skills across robot hands, sensors, and manipulation tasks.

## Post

LingBot-Touch has landed: an open-source tactile foundation model for transferring touch-based skills across robot hands, sensors, and manipulation tasks. 📜 Apache-2.0 License.
🤖 https://modelscope.ai/collections/Robbyant/LingBot-Touch

🖐️ Pretrained on touch at scale: Learns from 4,983 hours of tactile recordings, 1.33B frames, and 464K interaction episodes across piezoresistive, magnetic, and visuotactile sensors.
📊 Built for dexterous manipulation: Evaluated across 26 real-world tasks and 12 simulated RL tasks, including fragile-object handling, deformable objects, and bimanual coordination.
🔄 Transfer across sensors and hands: A shared Haptic Transformer maps heterogeneous tactile signals into one reusable representation, enabling transfer to unseen tactile sensors and real-world dexterous hands.
⚡ High-frequency and lightweight: The HaT-Tiny encoder uses just 5.46M parameters while supporting responsive downstream tactile inference.
🛠️ Ready to build with: Tiny and Small checkpoints, inference code, sensor interfaces, and sample data are released for three tactile modalities.

[Video](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fext_tw_video_thumb%2F2120124357460557824%2Fpu%2Fimg%2F46hGWYrNWqKjVMnz.jpg&mode=thumb&exp=1794528000&sig=2efb7aad585262f9)