1981
DOI: 10.21236/ada120692
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Dynamically Stable Legged Locomotion

Abstract: Online learning and controller adaptation will be an essential component for legged robots in the next few years as they begin to leave the laboratory setting and join our world. I present the first example of a learning system which is able to quickly and reliably acquire a robust feedback control policy for 3D dynamic bipedal walking from a blank slate using only trials implemented on the physical robot. The robot begins walking within a minute and learning converges in approximately 20 minutes. The learning… Show more

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Cited by 43 publications
(10 citation statements)
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“…It is hypothesized that SLR enhances performance of biological systems 5 , and that we might use SLR to improve the performance of legged robots, such as the Phides robot shown in Figure 1. Use of SLR to improve controller performance is attractive, because it is a conceptually simple extension to any foot placement controller, such as the constant angle of attack controller 6 and the neutral point controller 7 . The effect of swing-leg retraction on limit cycle walking 8 is relatively well studied and has been shown to improve energy efficiency, small disturbance stability, and large disturbance rejection [9][10][11] .…”
Section: Introductionmentioning
confidence: 99%
“…It is hypothesized that SLR enhances performance of biological systems 5 , and that we might use SLR to improve the performance of legged robots, such as the Phides robot shown in Figure 1. Use of SLR to improve controller performance is attractive, because it is a conceptually simple extension to any foot placement controller, such as the constant angle of attack controller 6 and the neutral point controller 7 . The effect of swing-leg retraction on limit cycle walking 8 is relatively well studied and has been shown to improve energy efficiency, small disturbance stability, and large disturbance rejection [9][10][11] .…”
Section: Introductionmentioning
confidence: 99%
“…2.2. The notion of virtual legs has been used with great success by Raibert to control his two-and four-legged robots by extending the one-leg control algorithms, [60], [63]. It allows several separate physical legs to be represented by fewer virtual legs, Fig.…”
Section: Running Gaits and Locomotion Modelsmentioning
confidence: 99%
“…Schiehlen [55] developed a bipedal locomotion system with StarlETH [28] proposed a 23 kg compliant quadrupedal robot, with a trotting gait walking at the speed of 0.43 m/s, when electric power equals 360 W. The robot was designed as a device with an adaptive torque control mechanism. Raibert's quadrupedal robot [48] was as heavy as 32 kg, and had multiple modes of running gaits-based legs moving in pairs: the trot, pace and bound locomotion. Scout II [63] was a 24 kg autonomous four-legged robot with only one actuator per compliant leg.…”
Section: Specific Resistancementioning
confidence: 99%