基于VR功能的远程外骨骼辅助物理治疗的延迟和连接稳定性研究。

Piotr Falkowski, Krzysztof Zawalski, Kajetan Jeznach, Jan Oleksiuk, Mehmet Emin Aktan, Vasfi Emre Omurlu, Pawel Niedbalski, Erhan Akdogan, Piotr Kolodziejski
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引用次数: 0

摘要

该研究论文探讨了外骨骼辅助物理治疗中远程控制延迟的挑战。它侧重于远程康复要求对安全治疗的影响。随着全球残疾人和老年人比例的增加,对有效的远程操作物理治疗解决方案的需求也在增加,这就需要对机器人系统进行精确控制。该研究利用混合方法来评估康复外骨骼与控制系统之间的通信延迟,该通信延迟基于VR(虚拟现实)组件中的数字孪生体在不同阶段。此外,还评估了远程行动造成的额外延误。主要研究结果显示,在较短的距离上,关节控制的平均延迟保持在300毫秒以下,这被认为是可以接受的舒适的手动远程操作。设置设备配置和通过物理外骨骼到达设备之间的延迟对于特定的关节是不同的,主要取决于扭矩与惯性矩的比率。总通信周期不应超过400ms,未来可以通过使用6G网络或ADS(自动化设备规范)通信协议代替数据库来进一步缩短通信周期。最终,该研究为开发算法提供了基础,这些算法可以减轻延迟并提高具有物理支持设备的远程医疗解决方案的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of Delays and Connection Stability in Teleoperation via VR Capabilities for Remote Exoskeleton-Aided Physiotherapy.

The research paper examines the challenges of remote control delays in exoskeleton-aided physiotherapy. It focuses on the implications of telerehabilitation requirements for safe treatment. As the global share of disabled and elderly people increases, the demand for effective teleoperated physiotherapy solutions rises, necessitating precise control over robotic systems. The study utilizes a mixed-methods approach to assess delays in communication between a rehabilitation exoskeleton and the control system's based on the digital twin in VR (virtual reality) components at different stages. Moreover, additional delays coming from distant operations are assessed. Key findings reveal that the average latency for joint control on shorter distances remains below 300 ms-considered acceptable for comfortable manual teleoperation. The delays between setting the device's configuration and reaching it by a physical exoskeleton differ for particular joints and depend mainly on the torque-to-moment of inertia ratio. The total communication cycle should not exceed 400 ms, which can be further reduced by using a 6G network in the future or ADS (Automation Device Specification) communication protocol instead of the database. Ultimately, the study provides a foundation for developing algorithms that can mitigate delays and improve the efficacy of telehealth solutions with physically supportive devices.

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