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This article aims to bring quantum computing to robotics. A quantum algorithmis developed to minimize the distance travelled in warehouses and distributioncentres where order picking is applied. For this, a proof of concept isproposed through a Raspberry Pi 4, generating a quantum combinatorialoptimization algorithm that saves the distance travelled and the batch oforders to be made. In case of computational need, the robot will be able toparallelize part of the operations in hybrid computing (quantum + classical),accessing CPUs and QPUs distributed in a public or private cloud. Before this,we must develop a stable environment (ARM64) inside the robot (Raspberry) torun gradient operations and other quantum algorithms on IBMQ, Amazon Braket,D'wave and Pennylane locally or remotely. The proof of concept will run in suchquantum environments above.

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