跳跃的
系列(地层学)
调制(音乐)
功率(物理)
计算机科学
控制理论(社会学)
物理
人工智能
地质学
声学
量子力学
古生物学
控制(管理)
作者
Duncan W. Haldane,Mark Plecnik,Justin K. Yim,Ronald S. Fearing
出处
期刊:Science robotics
[American Association for the Advancement of Science (AAAS)]
日期:2016-12-06
卷期号:1 (1)
被引量:312
标识
DOI:10.1126/scirobotics.aag2048
摘要
Several arboreal mammals have the ability to rapidly and repeatedly jump vertical distances of 2 m, starting from rest. We characterize this performance by a metric we call vertical jumping agility. Through basic kinetic relations, we show that this agility metric is fundamentally constrained by available actuator power. Although rapid high jumping is an important performance characteristic, the ability to control forces during stance also appears critical for sophisticated behaviors. The animal with the highest vertical jumping agility, the galago (Galagosenegalensis), is known to use a power-modulating strategy to obtain higher peak power than that of muscle alone. Few previous robots have used series-elastic power modulation (achieved by combining series-elastic actuation with variable mechanical advantage), and because of motor power limits, the best current robot has a vertical jumping agility of only 55% of a galago. Through use of a specialized leg mechanism designed to enhance power modulation, we constructed a jumping robot that achieved 78% of the vertical jumping agility of a galago. Agile robots can explore venues of locomotion that were not previously attainable. We demonstrate this with a wall jump, where the robot leaps from the floor to a wall and then springs off the wall to reach a net height that is greater than that accessible by a single jump. Our results show that series-elastic power modulation is an actuation strategy that enables a clade of vertically agile robots.
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