Research on Path Planning System for Vision-Based Control of Micro-Robots

This paper presents a path-planning system for micro-robots based on machine vision, designed to enable the efficient control of micro-robot swarms. Micro-robots have diverse applications in fields such as industry and education, including precision assembly, product inspection, teaching demonstrations, and scientific experiments, where they enhance operational accuracy and technical comprehension. To achieve synchronized swarm control, the proposed system employs a modular design approach, enabling each robot to operate as an independently controlled unit, while coordinated path design facilitates the collective movement of multiple robots. The hardware architecture integrates a positioning camera, a probe-based motion structure, and a power-drive circuit, while the software framework incorporates machine vision for positioning and pose recognition, a path navigation system, and Wi-Fi communication. This integrated approach equips the micro-robots with precise tracking and path-planning capabilities, ensuring the efficient execution of specified path trajectories.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icrss65752.2024.00019
Primary Topic
Robotic Path Planning Algorithms
Type
article
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Research on Path Planning System for Vision-Based Control of Micro-Robots

Xiaoxiang Huang, Kaihui Xie, Dan Wang, Ying Zhou et al.
Robotic Path Planning Algorithms
article

Research on Path Planning System for Vision-Based Control of Micro-Robots

Xiaoxiang Huang, Kaihui Xie, Dan Wang, Ying Zhou, Xingrong Zhu
article en

Abstract

This paper presents a path-planning system for micro-robots based on machine vision, designed to enable the efficient control of micro-robot swarms. Micro-robots have diverse applications in fields such as industry and education, including precision assembly, product inspection, teaching demonstrations, and scientific experiments, where they enhance operational accuracy and technical comprehension. To achieve synchronized swarm control, the proposed system employs a modular design approach, enabling each robot to operate as an independently controlled unit, while coordinated path design facilitates the collective movement of multiple robots. The hardware architecture integrates a positioning camera, a probe-based motion structure, and a power-drive circuit, while the software framework incorporates machine vision for positioning and pose recognition, a path navigation system, and Wi-Fi communication. This integrated approach equips the micro-robots with precise tracking and path-planning capabilities, ensuring the efficient execution of specified path trajectories.

National University of Malaysia (MY)
Sustainable cities and communities
Openalex Percentile: Top 73%
Robotic Path Planning Algorithms
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