基于物理引擎的双侧物理任务机器人辅助触觉渲染

Yudong Liu, Kaiya Chu, Qing Miao, Mingming Zhang
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引用次数: 1

摘要

由偏瘫引起的神经损伤往往是导致协调性衰退的主要原因。双手机器人系统在恢复双侧肢体的协调性方面表现出了良好的效果。手动机器人在物理治疗中工作的主要原理是通过提供类似日常生活活动(ADLs)的运动任务。目前的证据还表明,通过整合触觉,可以改善双手训练的效果。然而,大多数机器人系统并没有集成触觉反馈,特别是当需要满足adl的工作空间时。本研究试图通过开发一种能够完成双边任务的新型触觉集成机器人系统来解决这一问题。该系统由机器人运动控制和物理引擎集成在Unity3d中实现。人类用户有望通过与双机器人手柄交互来进行双手训练。通过实验研究了机器人的运动控制位置跟踪性能和手工任务的触觉透明度。实验结果使我们相信,开发的机器人系统可以在adl要求的工作空间中完成具有触觉集成的双边物理任务。未来的工作将在实际力反馈方面研究其触觉性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robot-Assisted Haptic Rendering of Bilateral Physical Tasks via Physical Engine
Neurological injuries headed by hemiplegia are often the leading cause resulting in coordination decay. Bimanual robotic systems have demonstrated promising efficacy in recovering coordination of bilateral limbs. The main principle that bimanual robots work for physical therapy is through delivering motor tasks to resemble activities of daily life (ADLs). Current evidence also indicates that bimanual training outcomes can be improved by integrating the senses of haptics. However, majority of robotic systems have not been developed with the integration of haptic feedbacks, especially when required to meet the workspace of ADLs. This study sought to address this issue by developing a new haptic-integrated robotic system capable of delivering bilateral tasks. The system is implemented with robotic motion control and a physical engine integrated in Unity3d. Human users are expected to be able to perform bimanual trainings through interacting with dual robotic handles. Experiments were conducted to examine position tracing performance of motion control and haptic transparency of bimanual tasks rendered by the robot. The experimental results led us to believe that the developed robotic system can deliver bilateral physical tasks with haptics integration in an ADL-required workspace. Future work will examine its haptic performance in terms of real force feedback.
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