Ant's Robbyant Open-Sources Tactile Foundation Model LingBot-Touch
Ant Group's Robbyant team (Zhipingfang) has released the open-source tactile foundation model LingBot-Touch for dexterous manipulation. It's on Hugging Face under Apache 2.0. Built on a JEPA architecture with 5.46 million parameters, the model was pretrained on nearly 5,000 hours of real tactile data collected from gloved human hands and robot fingertip sensors.
Confirmed
- Available in Tiny and Small sizes, open-sourced on Hugging Face under Apache 2.0
- Unified heterogeneous tactile modeling enables transfer across sensors, dexterous hands, tasks, and action models
- Per @AlternativeSet4042, real-robot deployment paired with pi0.5 raised the task score from 48 to 70
- The model is a 5.46-million-parameter tactile encoder
Why it matters
- Internet data taught models to see and speak, but not what it feels like to hold a cup; LingBot-Touch targets exactly this gap
- @AlternativeSet4042 notes that two prior preprints applied GPT-6 Astra tactile images to manipulation tasks, but were validated only in simulation, with one taking a median 14 seconds per call; LingBot-Touch's small footprint and real-robot validation stand in contrast, offering a practically deployable open-source baseline for tactile manipulation.
2026-11-10 ~ 2026-11-10 · 13 related posts
Primary sources
- Ant's LingBot-Touch: open-source tactile foundation model boosts dexterous manipulation across 26 tasks — 新智元 ·
- LingBot-Touch lifts VLA success rate from 45.6% to 72.5%, pretrained on 4,983 hours of tactile data — CyberRobooo ·
- Ant Group's Robbyant open-sources LingBot Touch, a JEPA-based tactile foundation model — AdinaYakup ·
- 5.5M-param tactile encoder hits real hands, lifts pi0.5 scores from 48 to ~70 — Alternative_Set4042 · 2026-11-10
- [source] Ant Group's Robbyant open-sources LingBot Touch, a JEPA-based tactile foundation model — AdinaYakup · 2026-11-10
- Open-source tactile foundation model LingBot-Touch trained on ~5,000 hours of real data — Shruti_0810 · 2026-11-10
- [source] Ant's LingBot-Touch: open-source tactile foundation model boosts dexterous manipulation across 26 tasks — 新智元 · 2026-11-10
- Robbyant's LingBot-Touch: a tactile foundation model trained on 5,000 hours of real data — 机器之心 · 2026-11-10
- Robbyant releases LingBot-Touch, a tactile model giving robot hands human-like touch sensing — CyberRobooo · 2026-11-10
- LingBot-Touch unifies three tactile sensor types using 4,983 hours of real recordings — CyberRobooo · 2026-11-10
- How LingBot-Touch works: one shared Haptic Transformer unifies magnetic, piezoresistive and visuotactile signals — CyberRobooo · 2026-11-10
- [source] LingBot-Touch lifts VLA success rate from 45.6% to 72.5%, pretrained on 4,983 hours of tactile data — CyberRobooo · 2026-11-10
4 near-duplicate retellings: dair_ai · Div_pradeep · HeyAmit_ · aftahi_ai