qRobot: A Quantum computing approach in mobile robot order picking and\n batching problem solver optimization

Abstract

This article aims to bring quantum computing to robotics. A quantum algorithm\nis developed to minimize the distance travelled in warehouses and distribution\ncentres where order picking is applied. For this, a proof of concept is\nproposed through a Raspberry Pi 4, generating a quantum combinatorial\noptimization algorithm that saves the distance travelled and the batch of\norders to be made. In case of computational need, the robot will be able to\nparallelize part of the operations in hybrid computing (quantum + classical),\naccessing CPUs and QPUs distributed in a public or private cloud. Before this,\nwe must develop a stable environment (ARM64) inside the robot (Raspberry) to\nrun gradient operations and other quantum algorithms on IBMQ, Amazon Braket,\nD'wave and Pennylane locally or remotely. The proof of concept will run in such\nquantum environments above.\n