Control and Path Planning of Mobile Swarm Robots Using Blockchain Technology with Particle Swarm Optimization

Abstract

Technological advancement has made robots become rampant in industrial automation and globalization, as it’s fast and efficient in delivering tasks in industries with no supervision. This work shows the use of blockchain technology (smart contract) in controlling a swarm of robots combined with particle swarm optimization for solving the navigation path. The technique in this research modeled a new fitness function, that uses the optimal path generation and barrier avoidance for the mobile robot’s movement within the swarm, while the blockchain smart contract was integrated to control the robot’s speed. Simulated results validate path optimization and speed control with PSO and BT.