Goal Assignment

Goal assignment, the process of allocating tasks or destinations to agents (robots, software programs, etc.), is a crucial problem in multi-agent systems, aiming to optimize efficiency and avoid conflicts. Current research focuses on developing decentralized algorithms, often employing techniques like priority and target swapping, Voronoi diagrams for area partitioning, and conflict-aware optimization methods, to achieve efficient and collision-free goal assignments in various settings, including robotic exploration and multi-robot coordination. These advancements improve the scalability and robustness of multi-agent systems, with significant implications for fields such as robotics, logistics, and even human-AI collaboration in strategic decision-making.