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While robots taking a tumble is pretty funny, watching how these humanoid machines figure out how to walk autonomously without falling is absolutely fascinating. 虽然机器人摔倒很有趣，但观看这些人形机器人是如何学会自己行走还不摔倒的还是让人很感兴趣的。 In a new video, the Florida Institute for Human and Machine Cognition (IHMC) showcased an automatic footstep planning system for Boston Dynamics’ Atlas and NASA’s Valkyrie robots. 在一段新发布的视频中，佛罗里达人类与机器认知研究所（IHMC）展示了为波士顿动力公司的Atlas机器人和NASA的Valkyrie机器人设计的一个自动足迹规划系统。 The method uses the machines’ sensors to work out the most efficient path to a human-selected location. It also works on rough and narrow terrains. 这种方法是利用机器的传感器找到最优路线到达人为选择的地点，在凹凸路面和狭窄通道上也能行走。 Previously, the IHMC relied on a manual method that required a human operator to place the desired footsteps in a special user interface. 此前佛罗里达人类与机器认知研究所依靠手动方法，需要操作人员把预定脚步放进特殊的用户界面。 Unfortunately, this method was rather slow and cumbersome, which is why the IHMC has been working on a new autonomous approach that completely removes the need for a human operator. | 
