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Agibot: An Open-Source Modular Swerve-Drive Robot Platform for Agricultural Robotics Research and Education

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This paper introduces Agibot, an open-source, modular, low-cost agricultural robotics platform designed for autonomy research and education. The system integrates four-wheel independent swerve drive, swappable computing, distributed embedded control, multimodal sensing, and configurable manipulation within a unified sense-plan-act-verify framework. It was evaluated on representative row-crop navigation and manipulation tasks under varying lighting and soil conditions, demonstrating reliable lane following, autonomous row-to-row navigation, target identification, seed dispensing, plant manipulation, and closed-loop verification of task success. The modular architecture supports independent testing and rapid prototyping, while its accessible design facilitates hands-on robotics education.

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“erimentation, with potential applications in hands-on robotics education. The platform integrates four-wheel independent swerve drive, swappable computing, distributed embedded control, multimodal sensing, and configurable manipulation within a unified sense-plan-act-verify framework supporting perception, control, navigation, manipulation, and autonomous task verification. The platform was evaluated through represen”

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11/10
  1. arXiv Robotics — research abstractsSignal
    Agibot: An Open-Source Modular Swerve-Drive Robot Platform for Agricultural Robotics Research and Education

    This paper introduces Agibot, an open-source, modular, low-cost agricultural robotics platform designed for autonomy research and education. The system integrates four-wheel independent swerve drive, swappable computing, distributed embedded control, multimodal sensing, and configurable manipulation within a unified sense-plan-act-verify framework. It was evaluated on representative row-crop navigation and manipulation tasks under varying lighting and soil conditions, demonstrating reliable lane following, autonomous row-to-row navigation, target identification, seed dispensing, plant manipulation, and closed-loop verification of task success. The modular architecture supports independent testing and rapid prototyping, while its accessible design facilitates hands-on robotics education.

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