Standing Balance Control of a Bipedal Robot Based on Behavior Cloning

Jae Hwan Bong, Suhun Jung, Junhwi Kim, Shinsuk Park

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Bipedal robots have gained increasing attention for their human-like mobility which allows them to work in various human-scale environments. However, their inherent instability makes it difficult to control their balance while they are physically interacting with the environment. This study proposes a novel balance controller for bipedal robots based on a behavior cloning model as one of the machine learning techniques. The behavior cloning model employs two deep neural networks (DNNs) trained on human-operated balancing data, so that the trained model can predict the desired wrench required to maintain the balance of the bipedal robot. Based on the prediction of the desired wrench, the joint torques for both legs are calculated using robot dynamics. The performance of the developed balance controller was validated with a bipedal lower-body robotic system through simulation and experimental tests by providing random perturbations in the frontal plane. The developed balance controller demonstrated superior performance with respect to resistance to balance loss compared to the conventional balance control method, while generating a smoother balancing movement for the robot.

Original languageEnglish
Article number232
JournalBiomimetics
Volume7
Issue number4
DOIs
Publication statusPublished - 2022 Dec

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (MSIT) (NRF 2016R1A5A1938472) and the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (MSIT) (NRF 2020R1A2C1014452).

Publisher Copyright:
© 2022 by the authors.

Keywords

  • behavior cloning
  • biped robots
  • intelligent robots
  • robot learning
  • robot motion

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Biomaterials
  • Biochemistry
  • Biomedical Engineering
  • Molecular Medicine

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