<p>In this study, we present a novel method for enhancing the computational efficiency of whole-body control for humanoid robots, a challenge accentuated by their high degrees of freedom. The reduced-dimension rigid body dynamics of a floating base robot is constructed by segmenting its kinematic chain into constrained and unconstrained chains, simplifying the dynamics of the unconstrained chain through the centroidal dynamics. The proposed dynamics model can be applied to whole-body control methods, allowing the problem to be divided into two parts for more efficient computation. The efficiency of the framework is demonstrated by comparative experiments in simulations. The calculation results demonstrate a significant reduction in processing time, decreased from 2.17 ms to 0.98 ms. Additionally, the results also show the computational efficiency increases as the degrees of freedom of robot model increase.</p>

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Efficient Computation of Whole-body Control Utilizing Simplified Whole-body Dynamics via Centroidal Dynamics

  • Junewhee Ahn,
  • Jaesug Jung,
  • Yisoo Lee,
  • Hokyun Lee,
  • Sami Haddadin,
  • Jaeheung Park

摘要

In this study, we present a novel method for enhancing the computational efficiency of whole-body control for humanoid robots, a challenge accentuated by their high degrees of freedom. The reduced-dimension rigid body dynamics of a floating base robot is constructed by segmenting its kinematic chain into constrained and unconstrained chains, simplifying the dynamics of the unconstrained chain through the centroidal dynamics. The proposed dynamics model can be applied to whole-body control methods, allowing the problem to be divided into two parts for more efficient computation. The efficiency of the framework is demonstrated by comparative experiments in simulations. The calculation results demonstrate a significant reduction in processing time, decreased from 2.17 ms to 0.98 ms. Additionally, the results also show the computational efficiency increases as the degrees of freedom of robot model increase.