本研究是以人類的跳躍動態與Segway的運動原理為出發，藉由跳躍過程中控制目標的規劃，來使具有兩個致動關節以及平坦狀腳底的單足機器人穩定的跳躍。且跳躍策略是建立在維持機器人自身的平衡上，跳躍只是衍生出來的動態，與目前大部分機器人採軌跡規劃的方式不同。論文中對跳躍策略各階段機器人的整體動態仔細的分析，提出各階段的控制目標，期望單足機器人的跳躍更接近人類的動態。藉由模擬的驗證，機器人在起跳前會經歷一特殊的欠致動狀態，亦即其腳底在地面上繞著未致動的腳尖旋轉。由於具備了此欠致動的狀態，使得機器人跳躍的距離更遠，達到類似於人類穩定跳躍的動作。另外實作上我們以訊號處理的方式，將加速規與陀螺儀合成一頻寬較寬的角度感測器，做為控制上的輸入。實驗結果證實，機器人可以以我們的跳躍策略完成一穩定的欠致動跳躍動作。

In this paper, the principle of one-legged, articulated hopping robot is based on the human jumping motion and Segway’s dynamics. The robot with the flat-shaped foot can stably hop by planning the control objectives through the hopping process. Different from most of the trajectory-planning robots, our robot’s jumping strategy is built on maintaining the balance of the robot itself, and hopping is just derived from the dynamics, so we expect that the robot’s jumping motion will get closer to human dynamics. In simulations, before taking off, the robot has a special feature, that it goes through an underactuated phase in which the foot rotates around the unactuated toe on the ground. By this underactuated phase, the robot can perform stable human-like hops with longer hopping distance. Additionally, we implemented a sensor fusion method to combine an accelerometer and a gyroscope into a wide bandwidth angle sensor as the control input. In conclusion, the result shows that the robot can achieve a stable underactuated jumping by our jumping strategy.

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