Robust estimation for the motion pose of a hexapod robot under compound noises

Ping Zhang; Jun Liu; Ke Shi

doi:10.1117/12.2675186

25 May 2023 Robust estimation for the motion pose of a hexapod robot under compound noises

Ping Zhang, Jun Liu, Ke Shi

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126365G (2023) https://doi.org/10.1117/12.2675186
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

Based on digital motion processor, this is a robust estimation system designed to estimate the motion pose of a hexapod robot under different conditions of contact surface friction coefficients and to output pose data. The final output pose data is also an important basis for determining the pose information of the body of the hexapod robot. Based on the analysis of the data waveform and the final decision results, the final output data of the system can reflect the pose of the robot body more accurately, and the robustness of the system has been greatly improved.

Citation Download Citation

Ping Zhang, Jun Liu, and Ke Shi "Robust estimation for the motion pose of a hexapod robot under compound noises", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126365G (25 May 2023); https://doi.org/10.1117/12.2675186

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available