This paper studies the key technologies in the design of an intelligent delivery cart system. The system uses the STM32F103VET6 chip as the control core, collects and recognizes room number image data through a camera module, uses LittleVGL to implement the human-machine interaction touch screen interface design, employs a wireless communication module to achieve wireless data transmission between the touch screen and the intelligent cart; uses an ultrasonic module to determine the status of items placed in the box; and controls the cart to perform item delivery tasks through modules such as gray-scale tracking, DC motors, and gyroscopes, ultimately completing the physical model of the intelligent delivery cart. The experimental results show that the various modules of the intelligent delivery cart system work together to achieve intelligent delivery of items in the experimental venue.
Dong, L., He, Z., Song, C. and Sun, C. (2023) A Review of Mobile Robot Motion Planning Methods: From Classical Motion Planning Workflows to Reinforcement Learning-Based Architectures. Journal of Systems Engineering and Electronics, 34, 439-459. https://doi.org/10.23919/jsee.2023.000051
