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Collaborative Robotics for Rehabilitation: A Multibody Model for Kinematic and Dynamic Analysis

机译:康复协作机器人:运动动态分析的多体模型

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Human-Robot Collaboration is increasing in industrial settings because of the robot's accuracy and repeatability join perfectly with human's problem solving to enhance the industrial productivity. Collaborative robots share the workspace with operators in order to reduce human workload and guarantee performances. The reliability and safety of these robots allow their application in the health care sector (e.g. neuromuscular rehabilitation). The cobot-assisted therapy is becoming a significant supplement to the traditional one aimed at providing intensive and repetitive rehabilitating tasks to improve the patient's recovery. The human-robot system presented in this paper is a closed kinematic chain composed of a robotic arm attached to the human forearm through a custom handle system. The handle, designed with simple components, is used for primary rehabilitation exercises. The kinematic models of human and robotic arms presented in this study are applied to develop trajectory planning algorithm in the joint space. Robot joints torques needed for guiding the patient limb are obtained by multibody dynamic simulations, assessing the capability of the manipulator to perform the task at given speeds and loads. The tools and methods proposed in this work allow for a preliminary study on cobot-assisted-therapy by different human-cobot-working modalities.
机译:由于机器人的准确性和可重复性与人类解决方案,以提高工业生产力,人工机器人的合作在工业环境中正在增加。协作机器人与运营商共享工作区,以减少人类工作量和保证性能。这些机器人的可靠性和安全性允许其在医疗部门(例如神经肌肉康复)中的应用。 Cobot辅助治疗对传统的旨在提供密集和重复的康复任务来改善患者的康复,这是一个重要的补充。本文呈现的人机系统是通过定制手柄系统连接到人前臂的机器人臂组成的闭合运动链。使用简单组件设计的手柄用于初级康复练习。本研究中提出的人体和机器人臂的运动模型应用于开发联合空间中的轨迹规划算法。通过多体动态仿真引导患者肢体所需的机器人关节扭矩,评估了操纵器在给定速度和负载下执行任务的能力。本作作品中提出的工具和方法允许通过不同的人类Cobot工作方式对Cobot辅助治疗的初步研究。

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