Collaborative Research: HCC: Medium: Learning to coordinate between human and a robotic prosthesis for symbiotic locomotion

下肢截肢者依靠假肢等辅助设备恢复日常生活中的基本活动能力，新兴的机器人下肢假肢具有动力和可编程性，显示出改善功能的巨大潜力。然而，这些现代设备的预期益处尚未完全实现，部分原因是计算机控制的人造关节和人类关节在行走中缺乏无缝协调。该项目将开发新技术来解决“人类-假肢共生运动问题”，也就是说，人类和可穿戴机器人下肢假肢作为协作代理进行交互，并共同发挥作用，以实现共同的运动性能目标。这项研究将提高截肢者的行走性能和效率，同时增强他们对假肢的感受和对设备的接受程度，从而大大提高他们的生活质量。 这是第一次研究人-假肢协调和运动中的协同适应，并将在物理人机交互和以人为中心的计算领域贡献重要的知识。 其他广泛的影响将来自研究整合到本科生和研究生的跨学科培训，包括机器学习，人类运动控制和学习以及康复工程等领域。本项目的目标是创建和评估一个以人为中心的计算和控制（HC 3）框架，以改善人体假肢行走性能（就对称步态、姿势稳定性和减少的努力感而言）和假体实施方式而言，研究包括三个重点：（1）协调的人-机器人控制问题的创新公式和基于学习的设计解决方案，以实现人-假肢共生运动，一个对经典控制和现有多智能体强化学习方法提出巨大和新挑战的问题;（2）一种新的增强生物反馈接口，使人类主动运动适应与机器人假肢协调;以及（3）一种基于生物运动概念的智能下肢假肢在行走中的实施方式的新措施。此外，HC 3框架将在带着机器人膝关节假体行走的经股截肢者身上进行评估。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Individuals with lower limb amputation depend on assistive devices such as prostheses to restore basic mobility in daily living, and emerging robotic lower limb prostheses are powered and programmable, showing great potential for improved functionality. Yet, the expected benefit of these modern devices has not yet been fully realized, partly because of a lack of seamless coordination between computer controlled artificial joints and human joints in walking. This project will develop novel technology to address this “human-prosthesis symbiotic locomotion problem” which is to say that a human and a wearable robotic lower limb prosthesis interact as collaborating agents and function in unison to achieve a common locomotion performance goal. This research will improve amputees’ walking performance and efficiency while enhancing their sense of prosthesis embodiment and device acceptance, thus dramatically improving their quality of life. This is the first study of human-prosthesis coordination and co-adaptation in locomotion, and will contributes important knowledge in the fields of physical human-robot interaction and human-centered computing. Additional broad impacts will derive from integration of the research into interdisciplinary training of undergraduate and graduate students, in areas including machine learning, human motor control and learning, and rehabilitation engineering. The objective of this project is to create and evaluate a Human-Centered Computing and Control (HC3) framework for improved human-prosthesis walking performance (in terms of symmetrical gait, postural stability, and reduced sense of effort) and prosthesis embodiment, the research to include three thrusts: (1) an innovative formulation of a coordinated human-robot control problem and a learning-based design solution to achieve human-prosthesis symbiotic locomotion, a problem that poses great and new challenges to classical control and existing multiagent reinforcement learning methods; (2) a novel augmented biofeedback interface to enable active human locomotion adaptation to coordinate with the robotic prosthesis; and (3) a new measure of embodiment of intelligent lower limb prostheses in walking based on the concept of biological motion. Furthermore, the HC3 framework will be evaluated on transfemoral amputees walking with a robotic knee prosthesis.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.