2013
DOI: 10.1007/s10514-013-9330-7
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Walking pattern generation for a humanoid robot with compliant joints

Abstract: This work presents a walking pattern generator based on the control of the center of mass (COM) states and its experimental validations on the compliant humanoid robot COMAN powered by intrinsically compliant joints. To cope with the inaccuracies of the joint position tracking resulted by the physical compliance, the proposed pattern generator uses the feedback states of the COM and on-line computes the updated COM references. The position and velocity of the COM are the state variables, and the constrained gr… Show more

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Cited by 34 publications
(17 citation statements)
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References 27 publications
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“…The mean values of the hip pitch angle error can indicate similarity between the movements of a human subject and the robot because the knee pitch angles were constrained to be within a predefined range by one of the artificial constraints in (15). Therefore, without significant changes in the knee pitch angles, leg movements were mainly affected by the changes in the hip pitch angles.…”
Section: ) Similarity Between Human Motion and Robot Motionmentioning
confidence: 99%
See 1 more Smart Citation
“…The mean values of the hip pitch angle error can indicate similarity between the movements of a human subject and the robot because the knee pitch angles were constrained to be within a predefined range by one of the artificial constraints in (15). Therefore, without significant changes in the knee pitch angles, leg movements were mainly affected by the changes in the hip pitch angles.…”
Section: ) Similarity Between Human Motion and Robot Motionmentioning
confidence: 99%
“…Czarnetski et al [14] controlled NAO robot's walking by using the preview controller and closed loop control with sensor feedback. Li et al [15] generated walking patterns for COMAN, a compliant humanoid robot, by controlling the center of mass. However, these methods involve computation of joint trajectories for robot's motion by imposing stability constraints, but the resulting movement may not be natural or human-like because not all degrees of freedom (DOFs) are used.…”
Section: Introductionmentioning
confidence: 99%
“…The effectiveness of the proposed stabilizer was validated when the simulated robot performed walking in place with a fixed walking pattern by the method in [16] [17]. The reason walking in place is chosen as a further validation is that the robot's base frame B coincides with the global frame W during gait.…”
Section: Simulation Study IIImentioning
confidence: 99%
“…The step length during walking was 12 cm and the trajectory was generated at a frequency of approximately 0.8 Hz. Explicit details regarding the trajectory generation framework may be found in [22] [23]. In order to assess the robot's overall stability, an inspection of the joint tracking and Cartesian CoM position during the trajectory was required, as portrayed by Figs.…”
Section: B Experimental Validationmentioning
confidence: 99%