Intelligent Mobile Robotics System for Healthcare and Patient Support

Abstract

In recent years, automation and robotics have played a vital role in improving healthcare efficiency and reducing human workload. The proposed system, “Intelligent Mobile Robotics System for Healthcare and Patient Support,” focuses on developing a low-cost mobile robotic platform capable of performing autonomous navigation and medicine delivery tasks within hospital environments. The project involves designing, simulating, and controlling a medical robot capable of autonomous movement between predefined locations using the Robot Operating System (ROS) and Gazebo simulation environment. The robot is built using an ESP32 microcontroller, TS7960 high-power motor driver, 12V 300 RPM Johnson DC motors, and a 12V Li-ion rechargeable battery pack. The robot’s motion is controlled via laptop communication, while path planning and mapping are simulated virtually in Gazebo. The proposed design provides a foundation for a smart, autonomous delivery system that can safely transport medicines and medical supplies without direct human contact. In future improvements, LiDAR and Raspberry Pi will be integrated for real-time mapping, object detection, and full autonomy. This approach demonstrates an affordable, scalable solution for healthcare automation, particularly useful in hospitals, quarantine zones, and patient care environments.