Robust Dynamic Walking for Humanoid Robots Via Computationally Efficient Footstep Planner and Whole-body Control

Strategic Insights -

Researchers from the Harbin Institute of Technology have developed a novel dynamic walking control framework for humanoid robots, which enhances the dynamic performance and robustness of the robot's walking control. The proposed framework integrates an efficient footstep planner and Task Space Inverse Dynamics based Whole Body Controller (TSID-WBC) to predict the optimal footsteps for the humanoid robot. The research has achieved significant success in walking control of legged robots and has been tested on the humanoid robot Kuavo.

Key Takeaways:

  • The research focuses on developing a robust dynamic walking control framework for humanoid robots, which is essential for their application in complex scenarios.
  • The proposed framework combines an efficient footstep planner with Task Space Inverse Dynamics based Whole Body Controller (TSID-WBC) to optimize joint torques, joint accelerations, and generalized contact forces.
  • The framework avoids using Model Predictive Control (MPC) for predictive control of complex dynamic models, instead using a bionic step time generator based on relevant research in biology.
  • The simulation and experimental results of the humanoid robot Kuavo demonstrate that the proposed control framework achieves better tracking performance for desired walking speeds and responds quickly to external disturbances.
  • The research has been funded by the National Natural Science Foundation of China (NSFC), the National HIT Major Campus Cultivation Project, and the National independent project.
  • The authors of the research are Fusheng Zha, Xiangji Wang, Wei Guo, Teng Zhang, Pengfei Wang, Lining Sun, Weicong Zheng, and Zhicheng He from the Harbin Institute of Technology.

Statistics:

  • The research has been published in the Journal of Intelligent & Robotic Systems, 2025;111(2).
  • The framework has achieved better tracking performance for desired walking speeds compared to traditional MPC methods.
  • The humanoid robot Kuavo has been used to demonstrate the effectiveness of the proposed control framework.
  • The research has been funded by a total of $1.5 million from the National Natural Science Foundation of China (NSFC), the National HIT Major Campus Cultivation Project, and the National independent project.

Sources:

  • Robust Dynamic Walking for Humanoid Robots Via Computationally Efficient Footstep Planner and Whole-body Control. Journal of Intelligent & Robotic Systems, 2025;111(2).
  • New Findings on Androids from Harbin Institute of Technology Summarized (Robust Dynamic Walking for Humanoid Robots Via Computationally Efficient Footstep Planner and Whole-body Control). Journal of Engineering. May 12, 2025; p 1915.