Effects of Object Mass on Balancing for Whole-Body Lifting Tasks

Hyunjong Song, William Z. Peng, Joo H. Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Despite the importance and prevalence of loco-manipulation tasks by humanoids, existing criteria and control methods for stability are mostly developed for unloaded legged gait. In this paper, the stability during lifting tasks is comprehensively analyzed to determine the role of the lifted object mass in balancing. The stability of a simple two-degree-of-freedom lifting model and a whole-body humanoid robot are evaluated by constructing their balanced state boundaries, which represent their specific capabilities in maintaining balance, through an optimization-based framework for varying combinations of object mass, joint torque limits, and base of support dimensions. Comparative analysis of the rate of change of the linear and centroidal angular momenta quantifies the nonlinear and nontrivial tradeoffs, i.e., contribution or obstruction, of the effects of the object mass on balancing. Overall, increasing the object mass enhances balance capability subject to the limiting factors of system kinematic and actuation limits, center of pressure within the base of support, friction cone, and unilateral normal contact forces between the feet and the ground.

Original languageEnglish (US)
Title of host publication2023 IEEE-RAS 22nd International Conference on Humanoid Robots, Humanoids 2023
PublisherIEEE Computer Society
ISBN (Electronic)9798350303278
DOIs
StatePublished - 2023
Event22nd IEEE-RAS International Conference on Humanoid Robots, Humanoids 2023 - Austin, United States
Duration: Dec 12 2023Dec 14 2023

Publication series

NameIEEE-RAS International Conference on Humanoid Robots
ISSN (Print)2164-0572
ISSN (Electronic)2164-0580

Conference

Conference22nd IEEE-RAS International Conference on Humanoid Robots, Humanoids 2023
Country/TerritoryUnited States
CityAustin
Period12/12/2312/14/23

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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