Research on biomimetic hexapod unmanned combat platform based on machine vision

Zefeng Yin; Zhongxin Li; Jinxiao Xu

doi:10.1117/12.3026206

1 April 2024 Research on biomimetic hexapod unmanned combat platform based on machine vision

Zefeng Yin, Zhongxin Li, Jinxiao Xu

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130820K (2024) https://doi.org/10.1117/12.3026206
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

In response to the requirements for target identification and tracking in battlefield scenarios, a design has been developed that integrates the control methodologies of hexapod robots with the principles of machine vision. This encompasses the creation of a compact, biomimetic hexapod unmanned combat robot that is based on machine vision principles. The core approach involves the utilization of a high-frame-rate wide-angle camera mounted on the hexapod robot to perform target recognition and tracking on chest ring targets. This is achieved by employing the YOLOv5 and Deepsort algorithms for target detection and tracking, allowing the acquisition of target centroid coordinates. These coordinates are then transmitted to an Arduino development board to govern the hexapod robot's movement. Furthermore, the system has been augmented with an electronic ignition module and firing mechanism, enabling precise firepower upon target locking. By effectively integrating machine vision and hexapod robot motion control technologies, this system provides a comprehensive exposition of the detailed implementation of automated target engagement.

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

Citation Download Citation

Zefeng Yin, Zhongxin Li, and Jinxiao Xu "Research on biomimetic hexapod unmanned combat platform based on machine vision", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130820K (1 April 2024); https://doi.org/10.1117/12.3026206

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KEYWORDS

Target detection

Robots

Biomimetics

Chest

Control systems

Detection and tracking algorithms

Machine vision

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