Research on collaborative task scheduling and cooperative control strategy for construction robots based on improved particle swarm optimization algorithm

A research program based on collaboration and cooperative control of construction robots is important for the development of the construction industry. This paper aims to develop and design a program based on collaborative construction robots and cooperative control technology to improve construction productivity. We construct a task planning and execution system for construction robots under distributed architecture, design the structure of the information management module, incorporate a hybrid network topology combining star and ring, improve the BEB algorithm to solve the channel collision problem, and form a multi-robot cooperative communication network system. Establish a multi-robot coordination model based on task division, adopt the idea of two-level division, propose a hierarchical distributed coordination method, and establish a hierarchical distributed coordination system framework. Use linearly varying inertia weights and acceleration factors to balance the global exploration and local search abilities of particles to form an intelligent path planning algorithm for construction robots. The simulation experiment environment is chosen, and each algorithm’s performance is analyzed. The simulation experiments involving collaboration and cooperative control of construction robots demonstrate the efficiency and practical application value of the optimization scheme designed and proposed in this paper.