New insights for the design of bionic robots: adaptive motion adjustment strategies during feline landings

Datao Xu, Huiyu Zhou, Xinyan Jiang, Shudong Li, Qiaolin Zhang, Julien S. Baker, Yaodong Gu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
16 Downloads (Pure)


Felines have significant advantages in terms of sports energy efficiency and flexibility compared with other animals, especially in terms of jumping and landing. The biomechanical characteristics of a feline (cat) landing from different heights can provide new insights into bionic robot design based on research results and the needs of bionic engineering. The purpose of this work was to investigate the adaptive motion adjustment strategy of the cat landing using a machine learning algorithm and finite element analysis (FEA). In a bionic robot, there are considerations in the design of the mechanical legs. (1) The coordination mechanism of each joint should be adjusted intelligently according to the force at the bottom of each mechanical leg. Specifically, with the increase in force at the bottom of the mechanical leg, the main joint bearing the impact load gradually shifts from the distal joint to the proximal joint; (2) the hardness of the materials located around the center of each joint of the bionic mechanical leg should be strengthened to increase service life; (3) the center of gravity of the robot should be lowered and the robot posture should be kept forward as far as possible to reduce machine wear and improve robot operational accuracy.

Original languageEnglish
Article number836043
Number of pages19
JournalFrontiers in Veterinary Science
Early online date21 Apr 2022
Publication statusPublished - 21 Apr 2022


  • bionic engineering
  • bionic robots
  • deep learning method
  • feline landing
  • finite element analysis


Dive into the research topics of 'New insights for the design of bionic robots: adaptive motion adjustment strategies during feline landings'. Together they form a unique fingerprint.

Cite this