Autonomous Wheeled Robot For Intelligent Supermarket Restocking

This work provides a novel solution to the issues associated with effective supermarket inventory management: an autonomous wheeled robot equipped with excellent image identification and line-following capabilities. This system optimises product storage in supermarkets by employing state-of-the-art robotics, computer vision, and artificial intelligence technology. The robot uses real-time shelf photos processed by sophisticated techniques along with image detection algorithms to precisely identify low-stock or empty shelves. The robot is capable of to identify things, classify them, and choose which shelves would be ideal for them according to deep learning algorithms. The robot simultaneously makes efficient use of line-following devices to transverse aisles. Using real-time demand data, the control system incorporates a dynamic decision-making algorithm which allows the robot to modify its trajectory and prioritise replenishment. With its substantial labour cost reductions, minimal error rate, and increased operational efficiency, this wheeled robot system has the potential to entirely transform the retail industry. The study opens the door for intelligent retail automation via demonstrating the practicality and efficacy of autonomous robots in automating supermarket restocking.