Research Article
Analysis of Fall Detection, Autonomous Reset and Other Technologies for Quadruped Robots
@INPROCEEDINGS{10.4108/eai.24-4-2026.2364924, author={Shitao Chen}, title={Analysis of Fall Detection, Autonomous Reset and Other Technologies for Quadruped Robots}, proceedings={Proceedings of the 3rd International Conference on Mechanics, Electronics Engineering and Automation, ICMEEA 2026, April 24-26, 2026, Singapore, Singapore}, publisher={EAI}, proceedings_a={ICMEEA}, year={2026}, month={9}, keywords={quadruped robot deep learning reset planning fall detection}, doi={10.4108/eai.24-4-2026.2364924} }- Shitao Chen
Year: 2026
Analysis of Fall Detection, Autonomous Reset and Other Technologies for Quadruped Robots
ICMEEA
EAI
DOI: 10.4108/eai.24-4-2026.2364924
Abstract
Traditional industrial robots are widely used in automobile assembly, automobile spraying, and other fields, but they have certain limitations in some fields with high precision requirements. Research on quadruped robots not only addresses the disadvantages of traditional robots, but also combines with other technologies to form a more advanced production model. This article starts from the two aspects of fall detection and reset planning of quadruped robots, and explains that compared with traditional robots, quadruped robots have higher accuracy and a more complete system, and their integration of deep learning technology allows quadruped robots to complete operations in more complex environments. This article reviews the current development status of quadruped robots and explains their future development direction, promoting the development of this field through the collaboration of multiple technologies.