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Haptic guidance for enhancing human motor learning: Application to a robot-assisted powered wheelchair trainer.

机译:增强人体运动学习的触觉指导:应用于机器人辅助的电动轮椅训练器。

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摘要

Achieving independent mobility is important for people with disabilities, but learning to drive a powered wheelchair can be difficult, time-consuming, and expensive. The primary motivation for this dissertation was to develop a robotic wheelchair trainer on which people with a disability can safely develop driving skills at their own pace with minimum assistance. The concept was to use a robotic joystick to guide movements to help people safely learn how to steer.;To provide a rational framework, we studied the conditions under which robotic guidance was effective for helping learn to steer, using a virtual reality simulator. Of concern was the long-standing "guidance" hypothesis which states that providing too much guidance impairs motor learning. We incorporated a novel guidance-as-needed strategy, which adjusts levels of guidance based on real-time errors. Training with guidance-as-needed improved the drivers' steering ability more than training without guidance, apparently because it helped learn when to begin turns. Furthermore, guidance's benefits were skill-dependent.;Guidance appeared to help participants learn timing. We therefore developed a robotic device to study whether robotic guidance improved learning of a pure timing task (a pinball-like task). Guidance was not effective, probably because participants relied on the form of guidance used, which totally eliminated performance errors. When we modified the strategy so that guidance was proportional to timing errors, guidance was beneficial for participants with a lower skill level.;To incorporate these findings into the robotic wheelchair trainer, we equipped a powered pediatric wheelchair with a webcam to achieve a self steering function along a course, and a force-feedback joystick to implement an algorithm that demonstrates exemplary control to follow the course, while systematically modulating its strength. Consistent with the findings from the driving simulator, training with guidance from the smart wheelchair improved healthy children's (age 3-10) steering ability more than training without guidance. In fact, training without guidance did not improve children's steering ability.;These results appear to be the first direct evidence that haptic guidance can enhance motor learning. Haptic guidance enhances learning of timing tasks, such as driving and pinball, in less-skilled people, and is more beneficial when applied only as needed.
机译:实现独立的机动性对残疾人很重要,但是学习驾驶电动轮椅可能很困难,耗时且昂贵。本论文的主要动机是开发一种机器人轮椅训练器,残疾人可以在该训练器上以最少的帮助按自己的步调安全地发展驾驶技能。其概念是使用机器人操纵杆来指导运动,以帮助人们安全地学习如何操纵。为了提供合理的框架,我们使用虚拟现实模拟器研究了机器人指导有效地帮助学习转向的条件。长期存在的“指导”假设令人担忧,该假设指出,提供过多指导会损害运动学习。我们采用了一种新颖的按需制导策略,该策略可以根据实时错误调整制导级别。有需要的指导下的训练比无指导的训练更能提高驾驶员的转向能力,这显然是因为它有助于学习何时开始转弯。此外,指导的好处取决于技能。指导似乎可以帮助参与者学习时间安排。因此,我们开发了一种机器人设备来研究机器人制导是否能提高对纯正时任务(类似弹球任务)的学习。指导无效,可能是因为参与者依赖于所使用的指导形式,从而完全消除了性能错误。当我们修改策略以使指导与计时误差成正比时,指导对于技能水平较低的参与者是有益的。;为了将这些发现整合到机器人轮椅训练器中,我们为电动轮椅配备了摄像头以实现自我转向沿着路线运动,并使用力反馈操纵杆来实现一种算法,该算法演示了遵循路线的示例性控制,同时系统地调节了路线的强度。与驾驶模拟器的结果一致,在智能轮椅的指导下进行训练比在没有指导的情况下进行训练更能改善健康儿童(3至10岁)的转向能力。实际上,在没有指导的情况下进行训练并不能提高儿童的转向能力。这些结果似乎是触觉指导可以增强运动学习的第一个直接证据。触觉引导增强了对技能较差的人的计时任务(如驾驶和弹球运动)的学习,并且仅在需要时才更有益。

著录项

  • 作者

    Marchal-Crespo, Laura.;

  • 作者单位

    University of California, Irvine.;

  • 授予单位 University of California, Irvine.;
  • 学科 Engineering Mechanical.;Engineering Robotics.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 414 p.
  • 总页数 414
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

  • 入库时间 2022-08-17 11:37:37

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