Research and implementation of intelligent robot based on visual follow

Yi Wang; Fengrui Qu; Xijun Wang; Songtao Zeng; Qizhen Sun; Mengyang Li; Jiafei Ge

doi:10.1117/12.3026410

1 April 2024 Research and implementation of intelligent robot based on visual follow

Yi Wang, Fengrui Qu, Xijun Wang, Songtao Zeng, Qizhen Sun, Mengyang Li, Jiafei Ge

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130820S (2024) https://doi.org/10.1117/12.3026410
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

This paper reviews global research on following and obstacle avoidance technology for intelligent robots, examining their current status, types, advantages, and disadvantages. It delves into the AI algorithm landscape, development trends, and challenges worldwide. Additionally, it explores the theoretical background and technical solutions for follow robots, offering an overall system architecture analysis considering hardware and software aspects. In the single-task mode, the service robot has a small application field and a low degree of intelligence. In the case of multitasking, the computing power cost of service robots is high, which leads to a significant increase in energy consumption and shortens the battery life. In view of the above problems, a low-power, multitask follow-up robot system based on the ROS platform is designed in this study, and the system can realize intelligent switching under two tasks of fixed-point cruise and visual follow-up. In terms of hardware, a low-energy heterogeneous computing platform is established to ensure that the same computing power is output while reducing energy consumption. In terms of software, according to the nature of the heterogeneous computing platform, the algorithm framework of the follow-up robot system is designed. Finally, the article proposes a design for an intelligent robot based on visual follow, integrating industrial control, sensing, and data processing technologies.

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

Citation Download Citation

Yi Wang, Fengrui Qu, Xijun Wang, Songtao Zeng, Qizhen Sun, Mengyang Li, and Jiafei Ge "Research and implementation of intelligent robot based on visual follow", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130820S (1 April 2024); https://doi.org/10.1117/12.3026410

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KEYWORDS

Visualization

Cameras

Sensors

Design

Robotic systems

Environmental sensing

LIDAR

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