Project files

VLS-AGV

Vertical Linear Stage Autonomous Robot Cart VLS-AGV (Vertical Linear Stage AGV) To address the high cost of commercial Automated Guided Vehicle (AGV) solutions, this project aims to provide users with a low-cost, secondary-development open-source AGV technical solution. The core highlight is the combination of rotatable and vertical operation capabilities, supporting the development of external robotic arms. While ensuring performance, it reduces costs and adapts to flexible operations in scenarios such as material storage and retrieval in small and medium-sized warehouses, process transfer in workshops, sample handling in laboratories, and retail replenishment. The autonomous robot cart consists of five core levels: the chassis (for movement and shock absorption), the base (for load-bearing), the slewing bearing (for left-right direction adjustment), the linear sliding module (for up-down movement adjustment of the robotic arm), and the robotic arm expansion base (for functional extension interface). The dimensions of the cart are 680 mm × 412 mm × 1121 mm.

The driving wheel is an encoder metering wheel driven by a stepper motor, and the driven wheel is a universal swivel wheel. The chassis and the load-bearing base are connected by shock-absorbing springs to improve driving stability. The weight of the upper structure and the grasped object is transferred to the load-bearing base through the hollow turntable. The hollow turntable is controlled by a servo motor, allowing the linear sliding module to rotate freely and enabling the AGV forklift's rotational operation capability. The linear sliding module provides the AGV forklift with vertical operation capability. The material of the robotic arm expansion base is industrial aluminum profiles, facilitating easy assembly and movement. This expansion layer is available for users to develop independently to meet specific needs.

Acknowledgments

We would like to thank the project team members Li Xiaofeng and Tian XuJie for their contributions to project iteration and data processing, as well as Teacher Zhang Dong for his precise guidance on the project plan. We also extend our gratitude to the other team members for their collaborative efforts.

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