2013
DOI: 10.1088/1748-3182/8/4/046006
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Bio-inspired swing leg control for spring-mass robots running on ground with unexpected height disturbance

Abstract: Abstract.We proposed three swing leg control policies for spring-mass running robots, inspired by experimental data from our recent collaborative work on ground running birds. Previous investigations suggest that animals may prioritize injury avoidance and/or efficiency as their objective function during running rather than maintaining limit-cycle stability. Therefore, in this study we targeted structural capacity (maximum leg force to avoid damage) and efficiency as the main goals for our control policies, si… Show more

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Cited by 32 publications
(39 citation statements)
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“…Simple walking and running models have revealed that swing-leg velocity just before the stance transition influences numerous aspects of locomotor dynamics, including stability [14][16], [18], robustness [19], leg work [19], [20], disturbance rejection and collision impact energy losses [18]. Previous studies suggest these factors cannot be simultaneously optimized—resulting in a trade-off between two families of performance objectives: swing-leg velocity can be optimized to minimize peak forces, work and collision impacts [16], [18]–[20], or to provide stability, disturbance rejection and robustness of body centre of mass (CoM) dynamics [15], [16], [18]–[20], but not all simultaneously. Thus, a potential trade-off has emerged between optimal swing-leg trajectory to regulate leg loading for injury avoidance , or alternatively, to facilitate steady gait through disturbance rejection .…”
Section: Introductionmentioning
confidence: 99%
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“…Simple walking and running models have revealed that swing-leg velocity just before the stance transition influences numerous aspects of locomotor dynamics, including stability [14][16], [18], robustness [19], leg work [19], [20], disturbance rejection and collision impact energy losses [18]. Previous studies suggest these factors cannot be simultaneously optimized—resulting in a trade-off between two families of performance objectives: swing-leg velocity can be optimized to minimize peak forces, work and collision impacts [16], [18]–[20], or to provide stability, disturbance rejection and robustness of body centre of mass (CoM) dynamics [15], [16], [18]–[20], but not all simultaneously. Thus, a potential trade-off has emerged between optimal swing-leg trajectory to regulate leg loading for injury avoidance , or alternatively, to facilitate steady gait through disturbance rejection .…”
Section: Introductionmentioning
confidence: 99%
“…However, minimizing leg impacts and peak forces may also be critical, because animal legs have relatively constant safety factors in musculoskeletal structures around 2–4× the peak forces of steady locomotion [25], [26]. Perfect disturbance rejection can demand large leg forces [18]–[20], which could lead to musculoskeletal injury. Building legs to withstand very large forces would require carrying extra weight, so limited safety factors in animal legs may reflect a compromise between safety and economy.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, increasing the pendulum length yields in slower motion 3 and consequently, steeper leg (smaller angle of attack) at touch down. It happens because of swing leg retraction which is observed already in human locomotion [19], [20], [21] and simulated models [22], [23], [13]. Eventually, smaller angle of attack reduces the forward speed [3] which means that the correlation between l p and V x should be around −1.…”
Section: System Analysismentioning
confidence: 91%
“…Leg retraction can affect the stability of the locomotor system (Blum et al, 2011(Blum et al, , 2010Seyfarth et al, 2003), the size of the disturbances a system can reject (Karssen et al, 2011) and the leg loading during a stance phase (Blum et al, 2014;Vejdani et al, 2013). Adjusting leg retraction velocity alters the landing posture, adjusting a trade-off between achieved successful stance phase versus reducing leg loading (Daley and Usherwood, 2010).…”
Section: Vision and Stabilitymentioning
confidence: 99%