Exploiting body redundancy to control supernumerary robotic limbs in human augmentation

Tommaso Lisini Baldi, Nicole D’Aurizio, Chiara Gaudeni, Sergio Gurgone, Daniele Borzelli, Andrea d’Avella, Domenico Prattichizzo
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Abstract

In the last decades, supernumerary robotic limbs (SRLs) have been proposed as technological aids for rehabilitation, assistance, and functional augmentation. Whether they are in the form of wearable devices or grounded systems, SRLs can be used to compensate for lost motor functions in patients with disabilities, as well as to augment the human sensorimotor capabilities. By using SRLs, users gain the ability to perform a wide range of complex tasks that may otherwise be challenging or even impossible with their natural limbs. Designing effective strategies and policies for the control and operation of SRLs represents a substantial challenge in their development. A key aspect that remains insufficiently addressed is the formulation of successful and intuitive augmentation policies that do not hinder the functionality of a person’s natural limbs. This work introduces an innovative strategy based on the exploitation of the redundancy of the human kinematic chain involved in a task for commanding SRLs having one degree of freedom. This concept is summarized in the definition of the Intrinsic Kinematic Null Space (IKNS). The newly developed procedure encompasses a real-time analysis of body motion and a subsequent computation of the control signal for SRLs based on the IKNS for single-arm tasks. What sets our approach apart is its explicit emphasis on incorporating user-specific biomechanical and physiological characteristics and constraints. This ensures an efficient and intuitive approach to commanding SRLs, tailored to the individual user’s needs. Towards a complete evaluation of the proposed system, we studied the users’ capability of exploiting the IKNS both in virtual and real environments. Obtained results demonstrated that the exploitation of the Intrinsic Kinematic Null Space allows to perform complex tasks involving both biological and artificial limbs, and that practice improves the ability to accurately manage the coordination of human and supernumerary artificial limbs.
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利用肢体冗余控制增强人体功能的编外机器人肢体
在过去的几十年里,人们提出将编外机器人肢体(SRL)作为康复、辅助和功能增强的技术辅助工具。无论是采用可穿戴设备还是接地系统的形式,SRL 都可用于补偿残疾患者丧失的运动功能,以及增强人类的感知运动能力。通过使用自恢复肢体运动器械,使用者可以完成各种复杂的任务,而这些任务如果使用他们的天然肢体可能会很困难,甚至是不可能完成的。设计有效的策略和政策来控制和操作自恢复肢体是自恢复肢体开发过程中的一项重大挑战。目前仍未充分解决的一个关键问题是,如何制定成功且直观的增强策略,同时又不妨碍个人自然肢体的功能。这项工作介绍了一种创新策略,其基础是利用任务中涉及的人体运动链的冗余来指挥具有一个自由度的 SRL。这一概念概括为 "内在运动学无效空间"(IKNS)的定义。新开发的程序包括对身体运动的实时分析,以及随后根据单臂任务的 IKNS 计算 SRL 的控制信号。我们的方法与众不同之处在于,它明确强调将用户特定的生物力学和生理特征及限制因素纳入其中。这确保了以高效、直观的方法指挥 SRL,满足用户的个性化需求。为了对所提议的系统进行全面评估,我们研究了用户在虚拟和真实环境中使用 IKNS 的能力。研究结果表明,利用本征运动学无效空间可以完成涉及生物肢体和人工肢体的复杂任务,而且通过练习可以提高准确管理人类肢体和编外人工肢体协调的能力。
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