DT-Loong:一个数字双胞胎模拟框架,用于可扩展的数据收集和人形机器人的训练
Yufei Liu1,2,3, Yang Li2,3, Jinda Du2,3,4
1Unmanned Vehicle Research Center, China North Vehicle Research Institute, Beijing 100072, China.
Biomimetics (Basel, Switzerland)
|November 26, 2025
概括
数字双胞胎龙 (DT-龙) 提供了一个具有成本效益的解决方案,用于生成高质量的数据,用于人形机器人训练. 这个数字双胞胎系统通过仿生设计和先进的运动重定位来增强体现的人工智能模型.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 生物模拟学是一种生物模拟学.
背景情况:
- 生物智能进步需要大规模,高质量的数据,以开发人形机器人.
- 目前的数据生成方法往往昂贵且耗时,阻碍了进步.
研究的目的:
- 介绍数字双胞胎Loong (DT-Loong),一个数字双胞胎系统,用于生成人形机器人的训练数据.
- 使用仿生设计和先进的运动重定位来增强体现的AI模型.
主要方法:
- 开发了一个高保真模拟环境,其中包含了Loong人形机器人的虚拟复制品.
- 集成的光学运动捕捉和人对人形运动重定位技术.
- 提出了一种优先引导的二次优化算法,用于动作重定位.
主要成果:
- DT-Loong生成高质量的数据,用于训练和完善体现的人工智能模型.
- 优先指导的二次优化算法实现了较低的时间延迟和增强的映射精度.
- 该系统可实现实时环境反和异常检测.
结论:
- DT-Loong为人形机器人培训和数字双胞胎应用提供了基础框架.
- 该系统通过模拟生物系统来增强机器人中类似人类的行为.
- DT-Loong非常适合用于需要实时反的监控和巡逻应用.
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