Multi Agent Collective Construction

Multi-agent collective construction focuses on developing algorithms and models that enable groups of robots or agents to collaboratively build structures, optimizing for speed, efficiency, and feasibility. Current research emphasizes efficient planning algorithms, including those based on mixed-integer linear programming (MILP) and metaheuristics like GRASP, often incorporating novel approaches like reversible ramps or 3D decomposition to handle complex structures and reduce computational time. These advancements aim to improve the speed and scalability of construction processes, potentially leading to significant improvements in construction efficiency and safety, particularly in applications involving hazardous or repetitive tasks.