2014 IEEE/RSJ International Conference on Intelligent Robots and Systems 2014
DOI: 10.1109/iros.2014.6942904
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Perturbation recovery of biped walking by updating the footstep

Abstract: Biped walking is sensitive to large perturbation because of the limited foothold and unstable nature. This paper proposed a strategy of dynamic updating the footstep for humanoid robots to recover their balance from an unexpected perturbation with one step. The proposed strategy consists of a desired footstep calculator and a swing leg controller. The desired footstep calculator consists of three stages: perturbation detection, rapid adaption, and capturabililty inspection. In the perturbation detection stage,… Show more

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Cited by 8 publications
(4 citation statements)
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References 13 publications
(23 reference statements)
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“…Oscillators are directly utilized to control the hip and knee joints. 24,25 During a walking cycle, the timing of the triggering and ceasing of oscillators were set by cognition of human practical walking. 26 Pranav et al focused on the passive compass and the simplest walker and studied the features of passive walking gait.…”
Section: Introductionmentioning
confidence: 99%
“…Oscillators are directly utilized to control the hip and knee joints. 24,25 During a walking cycle, the timing of the triggering and ceasing of oscillators were set by cognition of human practical walking. 26 Pranav et al focused on the passive compass and the simplest walker and studied the features of passive walking gait.…”
Section: Introductionmentioning
confidence: 99%
“…7 Chen et al 8 proposed an external acceleration detection and quadratic programming based controller for a force controllable humanoid robot. Fu 9 utilized an adaptive footstep updating strategy on a simulated humanoid robot in order to recover balance from perturbation during walking. In refs.…”
Section: Introductionmentioning
confidence: 99%
“…Pratt et al (2012) and Fu (2014) adjusted the step location using the capture region. Pratt et al (2012) and Fu (2014) adjusted the step location using the capture region.…”
Section: Introductionmentioning
confidence: 99%