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Dynamic Pattern-Recognition-Based Walking-Speed Adjustment for Stable Biped-Robot Movement under Changing Surface Conditions

机译:基于动态模式识别的行走速度调整,用于在变化的地面条件下稳定的Biped机器人运动

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Stable, efficient and robust walking is an essential biped-robot capability since they are supposed to tackle all the challenges in real environments. In this paper, we propose the use of a pattern-recognition scheme based on measured force-sensory data from various walking surfaces for dynamic walking-speed adjustment of the biped robot. A walking-pattern-recognition accuracy of over 98% for is obtained on a rigid surface, ensuring the pattern recognition basing on force sensors as a valid indication for walking-speed adjustment.
机译:稳定,高效和健壮的行走是Biped机器人必不可少的功能,因为它们被认为可以应对实际环境中的所有挑战。在本文中,我们提出了一种基于模式识别方案的方法,该方案基于来自不同步行表面的测得的力感测数据来进行Biped机器人的动态步行速度调整。在刚性表面上可获得超过98%的行走模式识别精度,确保了基于力传感器的模式识别是行走速度调整的有效指示。

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