---
format: "aidr-story-markdown/v1"
id: "0235186633cbbd200697dc26c9460ca85585a44fd90ae2f354d39c2ae1f96446"
canonical_url: "https://aidr.today/02351866?lang=en"
title: "Robbyant's LingBot-Touch Model Cuts Robot Touch Error by 97% on Unseen Sensors"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-11-10T18:53:25.000Z"
category: "Open Source"
topics: ["open-source","agent"]
source_urls: ["https://marketbrief.now/ai/robbyants-lingbot-touch-model-cuts-robot-touch-error-by-97percent-on-uns-eaf4d11f","https://huggingnews.com/ai/robbyants-lingbot-touch-model-cuts-robot-touch-error-by-97percent-on-uns-eaf4d11f"]
summary: "The XHand1 robot hand's average contact-center error dropped to 0.16 mm when using Robbyant's LingBot-Touch model. In real-world tests across six tasks, the robot's success rate increased to 75.04% with the model's features. The foundation model uses three 5.46M parameter encoders."
---

# Robbyant's LingBot\-Touch Model Cuts Robot Touch Error by 97% on Unseen Sensors

> [Open the canonical story](<https://aidr.today/02351866?lang=en>)

**Published:** 2026-11-10T18:53:25.000Z
**Category:** Open Source
**Topics:** open\-source, agent

## Summary

The XHand1 robot hand's average contact\-center error dropped to 0\.16 mm when using Robbyant's LingBot\-Touch model\. In real\-world tests across six tasks, the robot's success rate increased to 75\.04% with the model's features\. The foundation model uses three 5\.46M parameter encoders\.

## Sources

- [Story source](<https://marketbrief.now/ai/robbyants-lingbot-touch-model-cuts-robot-touch-error-by-97percent-on-uns-eaf4d11f>)
- [Story source](<https://huggingnews.com/ai/robbyants-lingbot-touch-model-cuts-robot-touch-error-by-97percent-on-uns-eaf4d11f>)