Li, Cheng-Yang
Undergraduate Student, Department of Electronic Engineering I-Shou University
E-mail：yangchengli657@gmail.com
Huang, Po-Rui
Undergraduate Student, Department of Electronic Engineering I-Shou University
E-mail：kaiw94040921@gmail.com
Abstract
With the rapid advancement of smart manufacturing and automated logistics, unmanned guided vehicles (AGVs) have become a key factor in industrial upgrading. However, in complex and unstructured environments, fully automated systems often lack the adaptability to respond to unexpected situations. To enhance system adaptability, this study designs and implements a material handling platform and robotic arm placement system based on a human–machine interface (HMI), aiming to explore a hybrid control mechanism integrating wireless remote operation and low-level control. The system structure is constructed using modular aluminum components to form a mobile platform and a three-axis robotic arm. The core control unit employs a highly integrated MegaPi microcontroller board (based on the ATmega2560 microprocessor core) , combined with dedicated sensor expansion boards to simplify circuit design. The drivetrain consists of a four-wheel independently driven chassis for flexible mobility, and three encoder motors are utilized to achieve closed-loop control for robotic arm manipulation. In terms of communication and interface design, Bluetooth wireless communication is adopted to establish the human–machine interface. The system firmware is developed in C/C++ and is capable of real-time parsing of serial communication (UART) control commands. This enables operators to interact with the system with minimal latency, performing tasks such as object grasping, transportation, and precise placement.
Experimental results demonstrate that the proposed system exhibits excellent mobility and control stability, effectively completing integrated handling tasks. The system highlights the practical application potential of microcontroller-based architecture combined with wireless communication in the field of smart logistics.
Keywords：mBot Ranger, Material Handling Robot, Automated Placement System, Educational Robot, Human–Machine Interface (HMI)