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迈向功能性机器人训练:触觉渲染可增强动态任务的运动学习,但会受到手臂重量支撑的阻碍。

Towards functional robotic training: motor learning of dynamic tasks is enhanced by haptic rendering but hampered by arm weight support.

机构信息

Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Freiburgstrasse 3, 3010, Bern, Switzerland.

Department of Cognitive Robotics, Delft University of Technology, Mekelweg 2, 2628 CD, Delft, the Netherlands.

出版信息

J Neuroeng Rehabil. 2022 Feb 13;19(1):19. doi: 10.1186/s12984-022-00993-w.

Abstract

BACKGROUND

Current robot-aided training allows for high-intensity training but might hamper the transfer of learned skills to real daily tasks. Many of these tasks, e.g., carrying a cup of coffee, require manipulating objects with complex dynamics. Thus, the absence of somatosensory information regarding the interaction with virtual objects during robot-aided training might be limiting the potential benefits of robotic training on motor (re)learning. We hypothesize that providing somatosensory information through the haptic rendering of virtual environments might enhance motor learning and skill transfer. Furthermore, the inclusion of haptic rendering might increase the task realism, enhancing participants' agency and motivation. Providing arm weight support during training might also enhance learning by limiting participants' fatigue.

METHODS

We conducted a study with 40 healthy participants to evaluate how haptic rendering and arm weight support affect motor learning and skill transfer of a dynamic task. The task consisted of inverting a virtual pendulum whose dynamics were haptically rendered on an exoskeleton robot designed for upper limb neurorehabilitation. Participants trained with or without haptic rendering and with or without weight support. Participants' task performance, movement strategy, effort, motivation, and agency were evaluated during baseline, short- and long-term retention. We also evaluated if the skills acquired during training transferred to a similar task with a shorter pendulum.

RESULTS

We found that haptic rendering significantly increases participants' movement variability during training and the ability to synchronize their movements with the pendulum, which is correlated with better performance. Weight support also enhances participants' movement variability during training and reduces participants' physical effort. Importantly, we found that training with haptic rendering enhances motor learning and skill transfer, while training with weight support hampers learning compared to training without weight support. We did not observe any significant differences between training modalities regarding agency and motivation during training and retention tests.

CONCLUSION

Haptic rendering is a promising tool to boost robot-aided motor learning and skill transfer to tasks with similar dynamics. However, further work is needed to find how to simultaneously provide robotic assistance and haptic rendering without hampering motor learning, especially in brain-injured patients. Trial registration https://clinicaltrials.gov/show/NCT04759976.

摘要

背景

当前的机器人辅助训练可以实现高强度训练,但可能会阻碍所习得技能向真实日常任务的转移。许多此类任务,例如端咖啡,都需要操纵具有复杂动力学的物体。因此,在机器人辅助训练过程中,由于缺乏与虚拟物体交互的本体感觉信息,机器人训练可能对运动(再)学习的潜在益处有限。我们假设,通过虚拟环境的触觉呈现提供本体感觉信息可能会增强运动学习和技能转移。此外,触觉呈现的加入可能会增加任务的现实感,增强参与者的能动性和动机。在训练过程中提供手臂重量支持也可能会通过限制参与者的疲劳感来增强学习效果。

方法

我们进行了一项研究,共纳入 40 名健康参与者,以评估触觉呈现和手臂重量支持如何影响动态任务的运动学习和技能转移。该任务包括反转一个虚拟摆锤,其动力学由为上肢神经康复设计的外骨骼机器人触觉呈现。参与者在有或没有触觉呈现以及有或没有重量支持的情况下进行训练。在基线、短期和长期保留期间评估参与者的任务表现、运动策略、努力程度、动机和能动性。我们还评估了在训练中获得的技能是否转移到具有更短摆锤的类似任务中。

结果

我们发现,触觉呈现显著增加了参与者在训练期间的运动变异性,以及使他们的运动与摆锤同步的能力,这与更好的表现相关。重量支持还增强了参与者在训练期间的运动变异性,并降低了他们的体力消耗。重要的是,我们发现,与没有重量支持的训练相比,有触觉呈现的训练可以增强运动学习和技能转移,而有重量支持的训练则会阻碍学习。在训练和保留测试期间,我们没有发现训练模式在能动性和动机方面有任何显著差异。

结论

触觉呈现是一种很有前途的工具,可以增强机器人辅助运动学习和技能向具有相似动力学的任务转移。然而,需要进一步的工作来找到如何在不阻碍运动学习的情况下同时提供机器人辅助和触觉呈现,特别是在脑损伤患者中。试验注册:https://clinicaltrials.gov/show/NCT04759976。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b82d/8842890/c3ac5d4ffb5b/12984_2022_993_Fig1_HTML.jpg

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