2017
DOI: 10.1371/journal.pone.0170122
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Arbitrary Symmetric Running Gait Generation for an Underactuated Biped Model

Abstract: This paper investigates generating symmetric trajectories for an underactuated biped during the stance phase of running. We use a point mass biped (PMB) model for gait analysis that consists of a prismatic force actuator on a massless leg. The significance of this model is its ability to generate more general and versatile running gaits than the spring-loaded inverted pendulum (SLIP) model, making it more suitable as a template for real robots. The algorithm plans the necessary leg actuator force to cause the … Show more

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Cited by 3 publications
(5 citation statements)
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“…For future work, this control strategy can guide the real robot walking and running, allowing determination of robustness to terrain softness. Also, SLIP could be replaced by an active template model, like point mass biped (PMB), 26 which should be able to generate more general gaits including asymmetric trajectories.…”
Section: Discussionmentioning
confidence: 99%
“…For future work, this control strategy can guide the real robot walking and running, allowing determination of robustness to terrain softness. Also, SLIP could be replaced by an active template model, like point mass biped (PMB), 26 which should be able to generate more general gaits including asymmetric trajectories.…”
Section: Discussionmentioning
confidence: 99%
“…ATRIAS [29] is an underactuated bio-inspired biped robots that attracts much attentions during the past decade. SLIP (spring loaded inverted pendulum) [123,124] and PMB (point mass biped) [125] are basic underactuated models to generate and control biped running gaits with natural properties, where PMB has been shown to be capable of generating more general gaits than SLIP.…”
Section: Trajectory Planningmentioning
confidence: 99%
“…The leg force is denoted by r F and the leg angle, with respect to vertical, by θ. The degree-4 polynomial path is similar qualitatively to the SLIP trajectory and can generate running gaits with any desired initial condition of the stance phase with the correct initial and final accelerations [9]. The PMB path in the stance phase is considered as ,…”
Section: Running Gait Planningmentioning
confidence: 99%
“…in which coefficients i a are calculated using the COM initial position, velocity, and acceleration. Combining the path equation with the dynamic equation of the PMB system leads to a second order nonlinear differential equation [9]. By solving this equation numerically, the trajectory is calculated as a function of time.…”
Section: Running Gait Planningmentioning
confidence: 99%
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