---
title: "Hubei Province \"Jingchu Academician Tour\" Academician Experts Research HCNC"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/258435245.md"
description: "Recently, the 2025 \"Jingchu Academician Tour\" research activity was launched in Wuhan. A group of academicians and experts visited HCNC for research, focusing on an in-depth investigation of the current development status of the embodied intelligence industry in the province. At the investigation site, Zhou Huicheng, the chief expert of the CNC system at HCNC, showcased the technological breakthroughs of the HCNC 10 series intelligent CNC systems and their supporting intelligent machine tools to the academicians and experts. This system is suitable for high-end manufacturing, featuring intelligent programming, precision compensation, and autonomous learning capabilities, effectively addressing the challenges of complex parts processing and process optimization"
datetime: "2025-09-23T01:27:21.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/258435245.md)
  - [en](https://longbridge.com/en/news/258435245.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/258435245.md)
---

> Supported Languages: [简体中文](https://longbridge.com/zh-CN/news/258435245.md) | [繁體中文](https://longbridge.com/zh-HK/news/258435245.md)


# Hubei Province "Jingchu Academician Tour" Academician Experts Research HCNC

Recently, the 2025 "Jingchu Academician Tour" research activity was launched in Wuhan. A group of academicians and experts visited HCNC for research, focusing on an in-depth investigation of the current development status of the embodied intelligence industry in the province. At the investigation site, Zhou Huicheng, the chief expert of the CNC system at HCNC, showcased the technological breakthroughs of the HCNC 10 series intelligent CNC system and its supporting intelligent machine tools to the academicians and experts. This system is suitable for high-end manufacturing and features intelligent programming, precision compensation, and autonomous learning capabilities, effectively addressing the challenges of complex parts processing and process optimization

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