Method for robot recognition and localization based on third-person perspective

Zongheng Luo; Jun Lu

doi:10.1117/12.3028993

22 May 2024 Method for robot recognition and localization based on third-person perspective

Zongheng Luo, Jun Lu

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 131763E (2024) https://doi.org/10.1117/12.3028993
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

To achieve the recognition and positioning functions of indoor mobile robots under limited computing power conditions, a method based on color recognition for robot recognition and positioning is proposed. The global image of the robot working in the field is collected by a camera outside the field, and the position of the robot is obtained through computer vision processing. Then, the robot is controlled to move according to this information. Experiments conducted within a 2m × 1m area have shown that the maximum error during robot operation is 7.8cm/m, with an average error of 7.0cm/m. The maximum error of the steering angle is 16.6°, with an average error of 7.7°.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zongheng Luo and Jun Lu "Method for robot recognition and localization based on third-person perspective", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 131763E (22 May 2024); https://doi.org/10.1117/12.3028993

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KEYWORDS

Control systems

Cameras

Data processing

Image processing

Robotic systems

Motion controllers

Microcontrollers

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