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Experimental Methods to Study Human Postural Control

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Published on: September 11, 2019

Stability Study and Simulation of Quadruped Robots with Variable Parameters.

Qian Cong¹, Xiaojie Shi¹, Ju Wang¹

¹Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China.

Applied Bionics and Biomechanics

|January 31, 2022

Summary

This summary is machine-generated.

Researchers developed two novel variable parameter quadruped robots to enhance walking stability. The design with front leg elbow and back leg knee joints showed superior resistance to lateral impacts, crucial for robotic locomotion.

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Area of Science:

Robotics and Mechanical Engineering
Control Systems and Dynamics

Background:

Quadruped robot walking stability is a significant challenge hindering their practical development and application.
Existing designs often struggle with dynamic stability and adaptability to uneven terrain or external disturbances.

Purpose of the Study:

To propose and analyze novel variable parameter quadruped robot designs for improved walking stability.
To investigate the linear motion stability of these robots under varying parameters using simulation.

Main Methods:

Development of two variable parameter quadruped robot models: one with full elbow joints, another with front elbow and back knee joints.
In-depth stability analysis of linear motion using RecurDyn simulation software.
Rigid-flexible body simulation experiments to identify force distribution during movement.

Main Results:

The quadruped robot configuration featuring elbow joints in the front legs and knee joints in the back legs demonstrated excellent anti-jamming capabilities against lateral impacts.
Simulation results indicated that the knee joint experiences the maximum force during robot locomotion.
Variable parameter adjustments significantly influenced the linear motion stability of the analyzed models.

Conclusions:

The proposed variable parameter quadruped robot designs offer enhanced stability, particularly the configuration with mixed joint types.
The findings provide a theoretical foundation for designing more robust and stable quadruped robots.
Understanding force distribution, especially in the knee joint, is critical for optimizing structural integrity and performance.