LingBot-Touch: open-source tactile foundation model trained on ~5,000 hours of real data
Div_pradeep · x · 2026-11-10
Robbyant released LingBot-Touch, an open-source tactile foundation model for dexterous manipulation, pretrained on nearly 5,000 hours of real tactile data collected via gloves on human hands and sensors on robot fingertips. It uses unified heterogeneous tactile modeling to transfer across sensors, dexterous hands, tasks, and action models.
More from Embodied
- Archon Robotics unveils Anchor 1, a whole-body humanoid controller with lowest tracking error — Scobleizer · 2026-11-10
- LingBot-Touch: a foundation model for heterogeneous tactile representation learning lands on HF — _akhaliq · 2026-11-10
- Alex Kendall's Team Releases Three-Part Series on Safety and Validation in End-to-End Learning — alexgkendall · 2026-11-10
- Stanford BEHAVIOR Challenge: robot full-task success jumps from 12% to 48% in one year — yining_hong · 2026-11-10
- Amazon FAR hiring researchers and PhD interns in SF for human-level open-world navigation — iamfakhrealam · 2026-11-10
- Apple is building a world-class robotics team, recruiting at CoRL — iamfakhrealam · 2026-11-10