Features of the Use of Quantum Computing in Constructing Trajectory of Collaborative Mobile Robot

Abstract

This paper considers the features of the application of quantum computing to construct trajectories of a collaborative mobile robot. Compared with classical pathfinding algorithms and evolutionary stochastic methods, quantum approaches provide an efficient search for globally optimal solutions in complex and dynamic environments through the use of superposition and parallel computing. The proposed models formalize the trajectory planning problem in the form of a QUBO formulation, which allows taking into account safety constraints, avoiding collisions, and scaling the system for multi-robot scenarios in Industry 5.0.