轻量化外骨骼实现上肢全范围运动捕捉,支持户外机器人遥操作
NuExo: A Wearable Exoskeleton Covering all Upper Limb ROM for Outdoor Data Collection and Teleoperation of Humanoid Robots
- 创新肩部结构实现100%上肢运动范围覆盖
- 5.2公斤重可背负使用,支持多模态数据采集
- 适配多种人形机器人,适合户外日常使用
从动作捕捉到机器人技能学习的演进已成为推动具身智能发展的关键路径。然而现有系统仍难以同时满足四大目标:长时间精准追踪上肢全范围运动(精度)、符合人体生物力学的舒适性(舒适度)、支持多样化数据采集(如力信号)及与人形机器人兼容性(多功能性),以及适用于户外日常使用的轻量化设计(便利性)。本文提出一种可穿戴外骨骼系统NuExo,融合直观沉浸式遥操作与多模态传感采集,通过新颖的肩部同步联动与同步带传动结构,能良好适配复合肩部运动,实现自然上肢运动范围的100%覆盖。系统整机重5.2公斤,支持背包式佩戴,便于在日常户外场景中使用。此外,我们开发了统一的直观遥操作框架和集成多模态传感的综合性数据采集系统,可适配多种人形机器人。在不同人形平台和多名用户上的实验验证了该外骨骼在运动范围与灵活性方面的优势,同时确认其在动态场景下数据采集与遥操作的稳定性。
原文摘要 · Abstract (English)
The evolution from motion capture and teleoperation to robot skill learning has emerged as a hotspot and critical pathway for advancing embodied intelligence. However, existing systems still face a persistent gap in simultaneously achieving four objectives: accurate tracking of full upper limb movements over extended durations (Accuracy), ergonomic adaptation to human biomechanics (Comfort), versatile data collection (e.g., force data) and compatibility with humanoid robots (Versatility), and lightweight design for outdoor daily use (Convenience). We present a wearable exoskeleton system, incorporating user-friendly immersive teleoperation and multi-modal sensing collection to bridge this gap. Due to the features of a novel shoulder mechanism with synchronized linkage and timing belt transmission, this system can adapt well to compound shoulder movements and replicate 100% coverage of natural upper limb motion ranges. Weighing 5.2 kg, NuExo supports backpack-type use and can be conveniently applied in daily outdoor scenarios. Furthermore, we develop a unified intuitive teleoperation framework and a comprehensive data collection system integrating multi-modal sensing for various humanoid robots. Experiments across distinct humanoid platforms and different users validate our exoskeleton's superiority in motion range and flexibility, while confirming its stability in data collection and teleoperation accuracy in dynamic scenarios.
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