Iron Device 获韩国政府项目，为机械手开发端侧 AI 计算模块
Iron Device to Develop On-Device AI Computing Module for Robotic Hands < Semiconductor < 기사본문 - The Elec Inc.
韩国无晶圆厂半导体公司 Iron Device 于 10 月 15 日宣布参与韩国产业通商资源部（MOTIR）牵头的政府项目，开发面向高自由度机械手的端侧 AI 计算模块。该模块为集成 CPU、GPU 和 NPU 的 SoC，目标相比 Nvidia Jetson Orin Nano 平台缩小约 59% 占用面积、能效提升至 3 倍（TOPS/W），并将传感器采集到电机控制的延迟降至 20 毫秒以内。项目总预算约 52.5 亿韩元，从今年 8 月持续到 2029 年底，Iron Device 计划将成品模块独立销售给国内外人形及工业机器人客户。
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Iron Device is developing an on-device AI computing module for robotic hands. (Photo: Iron Device)
Fabless semiconductor company Iron Device said on Oct. 15 that it will participate in a government-backed research project to develop an on-device artificial intelligence (AI) computing module.
The company was selected as a joint research partner in a project led by the Ministry of Trade, Industry and Resources (MOTIR) to develop high-degree-of-freedom (DOF) robotic hands and precision manipulation and assembly control technologies based on on-device AI. Iron Device is participating in a consortium with Tesollo, Hanyang University's ERICA Industry-University Cooperation Foundation and the Korea Institute of Robotics & Technology Convergence. The project has a total budget of approximately 5.25 billion won and will run from August this year through the end of 2029.
Iron Device will develop a low-power computing module capable of handling all AI processing within a robotic hand. The module will take the form of a system-on-chip (SoC) integrating a central processing unit (CPU), graphics processing unit (GPU) and neural processing unit (NPU).
The company aims to reduce the module's footprint by approximately 59% compared with Nvidia's Jetson Orin Nano platform while tripling power efficiency, measured in tera operations per second per watt (TOPS/W).
The module will be integrated with robotic hands and existing sensor modules developed by project leader Tesollo. By unifying data pathways between modules, the project aims to reduce latency from sensor data collection to motor control to 20 milliseconds or less. Iron Device will also be responsible for simplifying and optimizing AI inference algorithms developed by Tesollo and Hanyang University. The optimized algorithms will be deployed on Iron Device's module.
The company said it plans to sell the completed module to domestic and overseas humanoid and industrial robot customers independently of the research project.
"We aim to reduce our customers' robot system costs by more than 25% through this platform," said Lee Young-sik, vice president at Iron Device.
JEONG IL JOO 1week@thelec.kr
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