This paper presents the design and implementation of a Smart Human Following Trolley based on autonomous robotic technology for efficient and hands-free material transportation. Traditional trolleys require continuous manual effort for carrying loads, which can lead to physical fatigue and reduced productivity.

The proposed system addresses this issue by developing an intelligent trolley capable of automatically following a human target   while   maintaining   a   safe   distance. The system is built using the ATmega2560 microcontroller as the main processing unit, along with ultrasonic sensors and infrared (IR) sensors for human tracking and obstacle detection.

The L298N motor driver controls DC gear motors to achieve smooth and accurate movement of the trolley. Real-time sensor feedback enables dynamic tracking, obstacle avoidance, and automatic stopping during unsafe conditions. The system operates autonomously without requiring manual pushing, making it suitable for smart transportation applications.

The proposed trolley is designed to be low-cost, energy-efficient, reliable, and scalable for real-world deployment. Experimental analysis demonstrates effective human-following capability, safe obstacle detection, and stable motor control performance. The system can be applied in hospitals, airports, warehouses, shopping centers, and industrial environments to reduce human effort and improve operational efficiency. Future enhancements may include artificial intelligence-based vision tracking, IoT connectivity, and multi-trolley communication systems for advanced autonomous transportation applications.