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Myeong-Ju Kim

4 accepted papers

2025

Humanoid Walking Stabilization via Model Predictive Control with Step Adjustment Based on the 3D Divergent Component of Motion

ICRA 2025

In this paper, as an approach to stabilize humanoid walking where the height of CoM varies, a Novel Model Predictive Control framework based on three dimensional Divergent Component of Motion (3D-DCM) is proposed. To ensure the feasible utilization of contact forces for maintaining humanoid balance,

Cited by 1SourceScholar
2023

Foot Stepping Algorithm of Humanoids with Double Support Time Adjustment based on Capture Point Control

ICRA 2023poster

Recently, foot stepping strategies of humanoid robots have been actively developed for robust balancing of humanoids against disturbances. In this paper, a novel stepping algorithm adjusting double support phase (DSP) time is proposed. First, the stepping algorithm is proposed based on a model predi…

Cited by 12SourceScholar
2023

Proprioceptive External Torque Learning for Floating Base Robot and its Applications to Humanoid Locomotion

IROS 2023poster

The estimation of external joint torque and contact wrench is essential for achieving stable locomotion of humanoids and safety-oriented robots. Although the contact wrench on the foot of humanoids can be measured using a force-torque sensor (FTS), FTS increases the cost, inertia, complexity, and fa…

Cited by 4SourceScholar
2022

Humanoid Balance Control using Centroidal Angular Momentum based on Hierarchical Quadratic Programming

IROS 2022poster

Maintaining balance to external pushes is one of the most important features for a humanoid to walk in a real environment. In particular, methods for counteracting to pushes using the centroidal angular momentum (CAM) control have been actively developed. In this paper, a CAM control scheme based on…

Cited by 9SourceScholar