Design of an intelligent logistics handling vehicle based on Arduino multisensor fusion

The growing demand for autonomous, low-cost, and adaptive solutions in lightweight logistics has motivated significant research into intelligent handling vehicles. This paper presents the design and implementation of a fully autonomous logistics handling system based on Arduino and multi-sensor fusion. This system integrates ultrasonic sensors, inertial measurement units (IMUs), Pixy2 color recognition cameras and HUSKYLENS artificial intelligence cameras, and achieves coordinated operation through a multi-dimensional proportional-integral-derivative (PID) control framework optimized by Kalman filtering. The system adopts a "two-wheel drive and two-idler" directional wheel chassis and a 4° freedom robotic arm to form a closed-loop cycle of "perception - decision-making - execution". Test verification shows that the system performs stably in tasks such as bridge crossing, object grasping, obstacle avoidance and precise parking, with success rates of all tasks exceeding 96%. Compared with the traditional solution that relies on high-end microcontrollers, this design is competitive in performance, while significantly reducing hardware costs and greatly lowering development complexity. In addition to having direct application value in lightweight logistics scenarios, this system can also serve as a low-cost robot teaching platform with teaching value, and at the same time provide a reference for the design of embedded intelligent devices.