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Session 6: Medical Robotics

机译:第六节:医疗机器人

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Four papers in the Medical Robotics session provided a sample of investigations currently performed and experimentally validated in some of the areas where robots enhance the exploration of the livingness: orthosis where a robot is linked to a human arm with a potential rehabilitation functionality, intra-cardiac catheter explorations with a teleoperated system and, at the microscopic scale, robotically enhanced methods to ease cells manipulation. The first paper, EMG-based Position and Force Estimates in Coupled Human-Robot Systems: TowardsEMG-controlled Exoskeletons by Artemiadis and Kyriakopou-los from the National University of Athens, proposes an approach where EMG signals recorded from 7 muscles are used to estimate motion and force exerted by a human arm when coupled with a robot arm. The recording of electromyographic signals, representing the electric activity of muscles when the contract, is non invasive and can thus provide direct and non-bulky mean of interface between humans and robots, guaranteeing free movements of the human arm. According to the authors, the methods presented is accurate enough to allow robust control of constrained or non constrained motions necessary when controlling exoskeletons. Experiments where performed with a robot arm coupled to a human upper lime. Measured motion and force based on EMG were compared to position measured with a position tracking system to assess the method.
机译:医疗机器人技术会议上的四篇论文提供了一些示例的研究样本,这些研究目前在机器人可以增强对生命力探索的一些领域中进行和实验验证:矫形器,其中机器人与具有潜在康复功能的人手臂相连,心脏内借助远程操作系统进行的导管探查,以及在微观规模上通过机器人增强的方法来简化细胞操作。第一篇论文《人类机器人系统中基于EMG的位置和力估计:来自雅典国立大学的Artemiadis和Kyriakopou-los的对EMG控制的外骨骼提出了一种方法,该方法使用了从7条肌肉记录的EMG信号来估计运动”以及与机器人手臂耦合时由人手臂施加的力。代表收缩时肌肉电活动的肌电信号的记录是非侵入性的,因此可以提供人与机器人之间接口的直接且不庞大的平均值,从而保证人手臂的自由运动。这组作者说,提出的方法足够准确,可以在控制外骨骼时对鲁棒或非约束的运动进行鲁棒的控制。实验是在机器人手臂连接到人类上肢石灰的情况下进行的。将基于EMG的测得的运动和力与使用位置跟踪系统测得的位置进行比较,以评估该方法。

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