qRobot: A Quantum Computing Approach in Mobile Robot Order Picking and Batching Problem Solver Optimization

This article aims to bring quantum computing robotics. A algorithm is developed minimize the distance traveled in warehouses and distribution centers where order picking applied. For this, a proof of concept proposed through Raspberry Pi 4, generating combinatorial optimization that saves travelled batch orders be made. In case computational need, robot will able parallelize part operations hybrid (quantum + classical), accessing CPUs QPUs distributed public or private cloud. We stable environment (ARM64) inside (Raspberry) run gradient other algorithms on IBMQ, Amazon Braket (D-Wave), Pennylane locally remotely. The concept, when above stated environments, showed execution time our with different access simulators market, results batching algorithm, analyze real-time execution. Our findings are behavior D-Wave better than Gate-based Quantum Computing over 20 qubits, AWS-Braket has performance Qiskit Pennylane.