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EMG sliding mode finger joint synergy control of a dexterous artificial hand

机译:灵巧人工手的肌电滑动模式手指关节协同控制

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From observation of human data, a set of sinusoidal trajectories were developed to mimic the human motion of unscrewing a bottle cap with the thumb and index finger. These trajectories were then implemented on a dexterous robotic hand in the form of a robustly stable sliding mode control algorithm. With the developed synergies, a single myoelectric input was used to control multiple finger joints simultaneously. This controller was then compared to a one degree of freedom prosthetic hand also under sliding mode control. The two hands were used to complete an unscrewing task as quickly as possible. The synergy controller produced a statistically significant reduction in task completion time and also reduced the required workspace.
机译:通过对人类数据的观察,开发了一组正弦轨迹来模拟人类用拇指和食指拧开瓶盖的运动。这些轨迹然后以鲁棒稳定的滑模控制算法的形式在灵巧的机器人手上实现。随着协同作用的发展,单个肌电输入可用于同时控制多个手指关节。然后将该控制器与同样在滑模控制下的一自由度假肢手进行比较。两只手用于尽快完成拧松任务。协同控制器在统计上显着减少了任务完成时间,还减少了所需的工作空间。

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