Research on Path Planning System for Vision-Based Control of Micro-Robots
Kadan Xie, Xingrong Zhu, Ying Zhou, Dan Wang, Xiaoxiang Huang · 2024
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.