2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2015
DOI: 10.1109/iros.2015.7353844
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Online regeneration of bipedal walking gait pattern optimizing footstep placement and timing

Abstract: Abstract-We propose a new algorithm capable of online regeneration of walking gait patterns. The algorithm uses a nonlinear optimization technique to find step parameters that will bring the robot from the present state to a desired state. It modifies online not only the footstep positions, but also the step timing in order to maintain dynamic stability during walking. Inclusion of step time modification extends the robustness against rarely addressed disturbances, such as pushes towards the stance foot. The c… Show more

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Cited by 52 publications
(50 citation statements)
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“…During the control loop, a portion of the trajectory is sent to the Inverse Kinematics solver, which computes the correspondent portion of joint displacement to be sent to the robot. Modules related to manipulation tasks uses a WholeBody Inverse Kinematics library by Rocchi et al (2015), while the module related to walking uses a different strategy and Inverse Kinematics inspired by Kryczka et al (2015). Indeed, we decide to give freedom to the control module developers, so that they could use the control laws and IK approaches that they were more familiar with.…”
Section: Control Modulesmentioning
confidence: 99%
“…During the control loop, a portion of the trajectory is sent to the Inverse Kinematics solver, which computes the correspondent portion of joint displacement to be sent to the robot. Modules related to manipulation tasks uses a WholeBody Inverse Kinematics library by Rocchi et al (2015), while the module related to walking uses a different strategy and Inverse Kinematics inspired by Kryczka et al (2015). Indeed, we decide to give freedom to the control module developers, so that they could use the control laws and IK approaches that they were more familiar with.…”
Section: Control Modulesmentioning
confidence: 99%
“…However, the underlying simple template models (like LIP) require inverse dynamics or ZMP controllers to use ankles for a better tracking. Therefore, a combination of stepping and CoP modulation strategies is usually used Faraji et al (2014); Kryczka et al (2015); Feng et al (2013) for humanoid walking. Intuitive attack angle adjustment rules which capture the extra CoM velocity in hopping Raibert (1986) are extended to walking conditions too through capturability framework Koolen et al (2012).…”
Section: Control Approachmentioning
confidence: 99%
“…This generally involves updating the footstep plan, which can be performed using a lower dimensional model, or by directly incorporating the footstep locations in the optimisation process [6]. Kryczka et al [7] presented a ZMP-based method for incorporating, amongst other things, some level of timing feedback into the optimisation process. Their approach also requires measurement of the ZMP, and optimises a gait pattern depending on the Linear Inverted Pendulum Model (LIPM).…”
Section: Related Workmentioning
confidence: 99%