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A Study of the Effectiveness of Various Combined Control Schemes Based on MPC and WBC in Humanoid Control

  • School of Robotics and Advanced Manufacture, Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The development of motion control frameworks for legged robots primarily focuses on Model Predictive Control (MPC) and Whole-Body Control (WBC) strategies, both of which have proven effectiveness in achieving dynamic locomotion for bipedal and quadrupedal robots. MPC offers predictive capabilities by optimizing control inputs over a future horizon, while WBC enables real-time task prioritization and joint torque generation. In this work, we design a WBC motion control scheme based on nullspace projection and compare it with an existing linear MPC-based controller and combined MPC-WBC approach. These schemes are evaluated in simulation with respect to maximum walking speed, trajectory tracking accuracy, and disturbance rejection capability. The WBC scheme is shown to achieve faster movement (up to 0.9 m/s) and superior robustness against external perturbations compared to the MPC-only controller (up to 0.3m/s). Moreover, it significantly reduces computational complexity relative to the combined MPC-WBC framework, making it more suitable for real-time or resource-limited applications.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 18th International Conference, ICIRA 2025, Proceedings
EditorsTakayuki Matsuno, Honghai Liu, Lianqing Liu, Zhouping Yin, Xiangyang Zhu, Weihong Ren, Zhiyong Wang, Yixuan Sheng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages650-661
Number of pages12
ISBN (Print)9789819520978
DOIs
StatePublished - 2026
Externally publishedYes
Event18th International Conference on Intelligent Robotics and Applications, ICIRA 2025 - Okayama, Japan
Duration: 6 Aug 20259 Aug 2025

Publication series

NameLecture Notes in Computer Science
Volume16075 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Intelligent Robotics and Applications, ICIRA 2025
Country/TerritoryJapan
CityOkayama
Period6/08/259/08/25

Keywords

  • Legged Robots
  • Model Predictive Control
  • Whole-Body Control

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